{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "a03e22fb-7740-4210-8ee8-33ff05884942",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "plt.rcParams['font.sans-serif']=['SimHei']\n",
    "plt.rcParams['axes.unicode_minus']=False\n",
    "plt.style.use('ggplot')\n",
    "\n",
    "import warnings\n",
    "# 忽略所有警告\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "125fd67f-a813-4f1b-8010-2b75fa08e43f",
   "metadata": {},
   "outputs": [],
   "source": [
    "df1=pd.read_excel('result1_2.xlsx', sheet_name='M101')\n",
    "df2=pd.read_excel('result1_2.xlsx', sheet_name='M102')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "4eaa0a31-8f2f-49be-aa81-31eaf503a1a0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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tVsTHx2P37t3yvD179iAuLg6RkZEAnAOHI7B6ateuXRg1ahTmz58PAEhMTMSuXbvQu3fvSu3HU5IkYfLkydBqtRBCOI1X9d1336FNmzZo1aoVgNIgsWHDBpw6dUoepmD27NkwmUxYsGCBvM9JkyZh3Lhx6Nq1Kxo3boy0tDTcdtttiIiIQM+ePXHy5En52BYXF2PhwoVITExESUkJEhMToVarUVxcjH//+98AgF69emH//v2VqpfJZMK///1vdO3aFfPmzZOHZCjP+vXr8be//c3p85SRkYE+ffo4rfef//wHzz77rF8GNPItjHHuY9yUKVNw5coVfPnll5Xab3kY40oxxpViYleH7HY7xo0bh5CQEKdWjhACmzZtglarxS+//AKr1SpfbnAEmJtvvhnJyckYPHgwlEolDh48CIVCgYceegi33HILnnjiCQghYDKZUFJSgubNm7uM1r527Vq8/vrrKCwsxLJly8q9KysvLw9TpkzB448/Ls8zmUzQarVOwxV4Wuevv/4aKSkpcqAZMmQIdu3a5TIelTc5yp6Xlye35AG4HRcpMjISEydORMeOHV0CgkPbtm2RkZGBQ4cO4cSJE3jooYfkYQ2WL1+O1atXY/Xq1WjZsqU8BhRQevfdJ5984jQUQFUcO3YMY8eORWJiIjZv3ozBgwcjKysLCxYscNtH8ejRo5g7d658JsEhIyMDzZs3d1nfEfDc3ZkshMDWrVvxxRdfoEmTJlUqP9UPjHGtADjHuPfffx/vvvsuvv32W5SUlKCoqAhqtdrjy7HlYYxjjJPV5p0a5GzIkCFi+/btQojSu7I6d+4sLl68KEaMGCH69esn8vLyxJgxY0S/fv3E+fPnhRBCHDp0SMTHx8v7+OSTT0S3bt3ELbfcIvr27SsaNWok2rRpI/r27Sv69OkjunXrJg4dOuTy2uvWrRM33HCDOHz4sPjtt99EmzZtxNy5c4XJZHJa7/Dhw6JTp07i9ttvF1arVRw/flykpKSIqKgo8dtvvwkhhDhy5IhYs2aNUKlU8p1k5Tl48KAAIDIyMuR5X3/9tVCpVKKgoECeV9m7Yn/99VehUChEw4YNRcOGDUVYWJhITEx0We+///2v6Nevnzydnp4utm/fLiIjI8WZM2fk+R999JE4e/asOHbsmEhKSpLvmhKi9E6q2NhY0aRJE3H//feLl19+WWRnZ4sffvhBPP300+KGG24QJ06cEM8995zQ6/XirbfeElarVQghRO/evcW3334rhBAiNzdXXLlyxaWM7733nrj11lvd1nP79u1CrVaLoKAg8fDDD8vH+7vvvhOtWrUSzZs3F2vWrHHa5uOPPxaRkZFi0aJF8rxjx46JzZs3C6VSKX+23ElMTBRfffWVEEKI33//XTRq1EgIIcSDDz4oBgwYII4cOVLutkSMcaXKxrguXboIAE5/nsQ6xjjGOE8xsatDmzdvdvrA/frrryI0NFSMHz9eGAwGIYQQFotFTJgwQTRs2FBcvnxZ7N+/3ynoXSspKUmkpKS4zDebzWLfvn1i/vz5okOHDqJXr15y0BJCiMzMTDF8+HARHR0t/vWvf4k9e/YIIYSYN2+eGD16tBwMjx07Jvr16ydWrFghb7t8+XLRtm1bMXXq1Godj+o4d+6cmDRpkjz9008/OX35V6xYIXr16iXGjBkjTp48Kc8/evSoaNasmRg/fryw2Wwu++3Ro4do06aNHKgcrg1W48ePF9HR0eLFF190Wvbtt9+K9u3bi23btl23DjabTfTv31+o1Wrx/PPPu11n+fLlokmTJmLfvn0uywoLC8XEiRPF6dOn5Xlz5swRMTEx4sMPP3Rad8aMGaJr165i8eLF1y2Xw9GjR0VkZKTH6xMxxnkPYxxjnKckISrZeYBq1O+//4727du7zD937hxiY2OrvF+LxYLbb78dcXFxeOCBBzB48GC36+3fvx/Lli3D3XffjVGjRlX59eobo9EIhULh9nKK3W536ltUkdTUVGi1WsTExJS7TnZ2doXLy7LZbCgsLKxwcE+i2sQY558Y4/wHEzsiIiKiAMHhToiIiIgCBBM7IiIiogDBxI6IiIgoQDCxIyIiIgoQTOyIiIiIAgQTOyIiIqIAwcSOiIiIKEDU62fF5uXlwWaz1XUxfEJMTAyys7PruhgBgcfSuzw5niqVigOUunG9GFdfP6v1td4A6+6vda9MjKvXiZ3NZnP7AOD6RpIkAKXHg+NVVw+PpXfxeFZPRTGuvh7b+lpvgHUH6kfdeSmWiIiIKEAwsSMiIiIKEEzsiIiIiAIEEzsiIiKiAFGvb56oiM1mg8FgqOti1Bqj0QiLxVLXxXCi1WqhUvEjWhPsn633+j4Vw0d7fZ9Uc6xWK86fPw+TyVTXRal1vhLv6muMq4n4AzAGOdS/T5QHbDYbiouLER4eDoWifpzUVKvVPnWHsN1uR2FhIUJDQ+tl4COqSY4YFxUVBY1GU9fFqXW+EO8Y46im1I+spZIMBkO9Sup8kUKhQHh4eL06a0pUWxjj6h5jHNUUfqvLwYBX9/geENUcfr/qHt8Dqgn8VBEREREFCCZ2RERERAGCPTY9VFN38ZSnMnf3hIeHIzw8HLm5uTCbzdBqtdDpdMjLy4PRaARQ+jiVmJgY5ObmoqSkRN5WpVJBp9NBpVLBYDCgoKDAad/lbXc9Go0G0dHRyMzMhN1u98o+iajmMMZ5J8YFBwcjIiICSqUSVqsV+fn5fCY51SqesQsgarXa6V8HhUKBhg0bur3zKioqClarFXl5eVCpVAgJCfFou+sJCgpy+tcb+ySi+q06MS47O7vGY5xSqYROp0NBQQEuX76MkpIS6HS6Su+bqDqY2AUIIYQcnFQqldNDjhs0aCC3assKDg6GQqFAQUEB7HY7CgoKoNVqr7udJ4KCgmA2m10Su+rsk4jqr+rGuJKSkhqPcSqVCgUFBTCZTLDb7SguLnZJQolqmt8kdh9++CEWLFggT1+4cAHTp0/H+PHjsW7dOqcveX1ktVqdgl7ZMZry8/NRXFzsso1KpYLFYpGPnc1mcwpC5W13PQqFAmq1GkVFRS6JXVX3SUT1mz/EOLPZ7DR8iUql4mVYqnV+kdhduHABO3fuxEMPPQSg9AuenJyM2NhYzJ8/H2lpadi7d2+dlrGu2Ww2qFQqKBQKCCGcEt3y+o0oFAqXZUIISJJU4XbXExQUBJvNBrPZDIVC4XSZg33qiKgq/CXGlRUWFsaGLNU6n0/shBB45513MHToUOj1egDA4cOHYTAYMG7cOOj1eiQlJWH37t11XNK6Z7PZEBwc7PGI6tcGRwdH0KuqoKAguQxWq9XlrB0RUVX4U4yLiIiAEIIDEFOt8/nE7uuvv8b58+fRqFEj/Pzzz7DZbEhNTUXbtm3lL1PLli2RlpZWxyWtezabDSEhIZUKetcOkFndgAeUBr2QkBDo9Xqo1WomdkTkFd6KcdXtunO9GBcUFAStVou8vLxqvQ5RVfj0rYkmkwkbN26EXq9Hbm4uvvnmG/z3v/9FfHw8YmJi5PUkSYJCoUBRURHCwsJc9mO1Wp0CgSRJ8p1R3khkfIXVaoVWq0VxcbFHyZTFYnHqSKxUKiFJksvwJJWhUqmgVCqRnZ0Nu90OjUaDyMjIKu8P8K/3yFFW3y+z98tXE3X2n+NJtcFbMa46id31YpzjztirV6+yfx3VCZ9O7H788UeYzWbMmjULYWFhGDFiBP7zn/9gz549GDBggNO6Go0GFovF7X62bNmCzZs3y9OxsbFITk52Sg7LMhqNLncyWRXK6lWmkipzJ5VCoZD7nQB/9SFRKpUu+3H0UXGsp1AoEBYWBrPZjIiICFgsFrevXXa7ioSEhMjBTKFQwGazQZIkaLVal1a2J/vUaDRo0qTJdV/X1zi6Dfiqq+GuDaDqiqzB98nXjyfVjrKXPz1hsVjkhrzRaJRjXXU4+tc5ymAymaDT6eTfoKioKJhMJphMJrlBUt9v7qPa5dOJXW5uLuLi4uSzcEqlEi1atEBWVpbLIJNGo7HcDqwjRozAsGHD5GnHly07O9tti8pisbgGjmEPVKcqleZp4AIAu90OSZJgNBoREREBs9mMsLAwlJSUuOzHZrM5dRjOz8+HTqdDWFgYhBDIzc11e0yu3a484eHhMJvNTq9rsVigVCpd+pp4sk+LxYJLly5d93V9hSRJ0Ov1yMzM9OlgXlJY5PV9GmrgffL0eKpUqnIbauSZygwYXFesVivsdnulbnq4evUqdDodIiIiAJT+rlTnDLBjmBMHIQQsFguCgoLku2XVajVCQ0PldRxj2hHVBp9O7KKjo13OwuXk5GDs2LHYtm2bPC8rKwtWq9XtZVgA8hfNHV/+8fVUYWGh/P/MzEwApcHrWhkZGS7zTCYTsrKy5Batu8uw7rYrz5UrV1zmeVqW8vjje1Rep23f4f2y1WR9ff94Uk3yRoxznFGz2+0uvwfejHGV2RdRTfDpxO7mm2/Ge++9h507d6J79+748ccfcf78eTzzzDP4+OOPsW/fPvTv3x9bt25Fp06dPLpUSK7sdrsc8IiIAo3dbofJZKrrYtD/t9FcM902fP+cc+3w6cQuLCwMM2bMwLp167B27VrodDpMnDgRer0ejz32GFJSUvDBBx/Abrdj9uzZdV1cIiIiojrl04kdALRt2xYvv/yyy/yEhASkpKTg7NmziI+Pl/tPEBEREdVXPp/YVSQqKgpRUVF1XQwiIiIin+DXiR0RkT/58MMPcfHiRUybNg1A6eMSly1bhszMTAwaNAhjxoyR79isaBkRUXl4twERUS2ozDOv+TxsIqoqJnZERDWsss+85vOwiaiqeCmWiKiGOZ55PWjQIPz888/o0qVLhc+8ruzzsOvLYxMDVW29R4H+iL6K6hXodS+LiZ2HNhzLrtXXS+rs+Sj64eHhCA8PR25uLsxmM7RaLXQ6HfLy8mA0GgGUfphjYmKQm5vrNAK6SqWCTqeDSqWCwWBweqJHcHAwIiIioFQqYbVakZ+f7/GzDzUaDaKjo5GZmekyPl55ZSEKRFV55rXRaKzU87Cr89hEx78fHL7slfp6aky3xh6vq9VqERoaiqtXr8JisSA4OBjh4eEoKCiQnwIhSRIaNGiA/Px8p5ijVCoRHh4OpVIJk8mE4uJiAKX11mg0CAsLkx9/WFhY6HFMUqvV0Ol0yM3NdXq9yu6zLh6bWNeP6NNoNDWyX0+OY13XvTYwsQsgarUaZrPZZVR1hUKBqKgot49ci4qKgtlsRmFhIUJDQ+UnUDgeZJ2fnw+LxYLIyEjodDrk5OR4VBbHmYagoCA5ubxeWYgCUVWeee14NJW7Ze5U9bGJarVaPtNnt9duI6uyj00ESutltVqh1WoBQH5soiOuKJVKl0cVNmjQAGazGUVFRYiMjIRKpYLNZoPdbkd4eLhTjAsLC/M4xgUHBwMojWmO5NKRRFZmn7X52ERfeeRheZ/j6qroOPpK3auqMo9N5K9rgBBCyMmSSqVy+uA2aNAARqPRpZUUHBwMhUKBgoICqFQqFBQUIDIyUn7ubkFBgTxae3FxMRo2bOhxeRzPU7w2sSuvLIGi5NP1uBoe9v+fxeqd4OEPz/Ck8lXlmddhYWG4ePGi22XuBPpjE4HqxzghhBzjysY8b8a4qu6ztt+jQH1Enyd1CtS6l8WbJwKE1Wp1CnplW8P5+fny5YeyVCoVLBaL/CG32Wzyj4PZbIbBYHBa19PLsI6zDUVFRfKZu+uVhShQVfTM69OnT8vzyj7zOi4urtxl9ZU/xLjq7JPIW5jYBQibzQaVSgWFQuHSIimvf4dCoXBZJoRw27k0LCzM44QsKCgINpsNZrMZCoXC6SwD+9RRfXPzzTcjPT0dO3fuRG5uLr788kucP38eXbp0gcFgwL59+wDA6ZnX7dq1K3dZfeUvMa6q+yTyFl6KDSA2mw3BwcFyn5PrKe90tCRJTssiIiIghHBqiVYkKChIbk1brVY5CBLVR1V55rVSqeTzsN3wZowrqyZiXGX3SeQtTOwCiM1mQ0hIiNzv43qEEFAqlU7zrg14QUFB0Gq1HncodmyjUCgQHBwMSZJgt9vZaqV6rSrPvObzsF15K8aVTfhqIsZVZZ9E3sLELoA47hYrLi72KOhZLBb57jKg9CyBI0g5pnU6Ha5everxGTeVSgWlUons7GzY7XZoNBpERkZWrUJE9UBFz7zm87CdeSvGORK7mohxVdknkTfV3w4bAajspQFPWCwWp4FMw8LC5Nv2gdIfFZPJBJPJBEmSPBrY0XFJwmq1oqSkRN42UO+CJaLa4w8xrir7JPImnrHzUGUGDK4rVqsVdru9UjcoXL16FTqdDkDpZYvc3FwApcMEOIZQCA0Nlde/fPlyhft3DAHgIISAxWJBUFBQjY1dRETVF+gxznEpOzc3F5Ik1UiMc9wtW9l9EnkTE7sAUFhYKP8/MzMTAOQErayMjAyXeSaTCVlZWfLAxI7LsCaTye3613PlyhWXeZ6WhYjIHW/EOMcAz3a7HWq1usZiHGMb1TUmdgS73S4HPKp7G83Oj8WRvPQ4O384I0NUE+x2uzxoMFGgYx87IiIiogDBxI6IiIgoQDCxIyIiIgoQTOzKwf5mdY/vAVHN4fer7vE9oJrAxM4NrVaLwsJCfunqkN1uR2FhodPgokTkHYxxdY8xjmoK74p1Q6VSITQ0FEVFRXVdlFrjGArAl4SGhpb7cG0iqjpHjDMajfXyblFfiXeMcVQT+Ikqh0qlqjfPZpQkCU2aNMGlS5fKfWg21R1x8rhX9rP+ZNmpJuWtViWjgi55dX9U89Rqdb383jPeUaDjpVgiIiKiAMHEjoiIiChAMLEjIiIiChDsY0dURRvcPOpLmPXQCA0slrA6KFHd2Whu4rVHn5U1uksjr++TiCiQMbEjIiIiv+eusf0XCeF/GlFYWASg8jfN+NOztnkploiIiChAMLEjIiIiChBM7IiIiIgCBBM7IiIiogDBxI6IiIgoQPhNYjd37lzs3bsXAHDhwgVMnz4d48ePx7p16/hYGCIiIiL4SWL37bff4ujRowAAq9WK5ORkxMbGYv78+UhLS5MTPiIiIqL6rE4Su7y8PFy4cMGjdYuKirB27Vo0bdoUAHD48GEYDAaMGzcOer0eSUlJ2L17d00Wl4jIRWXiGBFRbfHqAMWbNm1Cr1690LJly+uud/DgQbz55psICQmpcN21a9ciISEBFosFAJCamoq2bdsiKCgIANCyZUukpaVVuA+r1Qqr1SpPS5Ikv64kSdetV6BzHAMei8ri8XLm/eNRF5/NmohjRES1xauJ3SeffIJPPvkE0dHR6NWrF8aMGQOFwvmk4KlTp7B3717cc8891w2Gx48fx6+//opFixZh9erVAACj0YiYmL9GgJYkCQqFAkVFRQgLc/8Ypy1btmDz5s3ydGxsLJKTk532Q4Ber6/rIviV8D+NLvNMGg0AQPP//61PgsO9/xg1x2eyNj+b3o5jRES1yeuPFJs2bRpOnz6N3377zSUY5ubmYtGiRYiPj8fIkSMr3I/FYsE777yDRx99FFqtVp6vUCigVqud1tVoNPIZPXdGjBiBYcOGydOO1n92djZsNpvHdQtUkiRBr9cjMzOTN6JUQumjaZwJi+W6n8dAZXVzPKorMzPTo8+mSqXyakPNW3GMiKi2eT2xa926Nbp16+Yy/8KFC0hOTkZUVBSmTJniEiyv9cknn6BNmza4+eabneaHhYXh4sWLTvOMRiNUqvKrolarXZJBByYyfxFC8HhUCo9VWeLkr17dnxTfUf481vZn01txjIhqjzh5vMLlJo0GoqqN7s4Dq7ZdHfB6YgcAOTk5yMzMhE6nQ1ZWFg4ePIgDBw5g4MCBGDNmjEeXqfbv34+CggI89NBDAACz2Yzvv/8eMTExKCkpkdfLysqC1Wot9zIsEVFVeCOOERHVtmondkaj0aWPyc8//4z33ntPnpYkCf/85z8xZMgQj/c7Z84cpwRu3bp1uPHGGzFgwAA899xz2LdvH/r374+tW7eiU6dObDkTUZXVVBy71ty5c9G3b18MGDAAFy5cwLJly5CZmYlBgwZhzJgxcjeRipYREVWk2ond2rVrkZGRgeHDh8vzbrnlFnTq1Ak2mw2ZmZk4duwYPvzwQxw4cAATJ05EVFTUdffbsGFDp+ng4GBEREQgIiICjz32GFJSUvDBBx/Abrdj9uzZ1a0GEdVjNRXHynKMx9m3b195PM4uXbpg4sSJWL16Nfbu3YuBAwdWuIyI6Hqqndh17twZRqMRS5YsAQDs2LED99xzDyIjIwEALVq0QEJCAkaOHIlly5bh+eefxwsvvIAbbrihUq/z1FNPyf9PSEhASkoKzp49i/j4eERERFS3GkRUj9V0HKtoPM6goCAkJSVh1apVGDhwYIXLiGrThmPZdV0En2H/bH2N7FcxfLTX91ntxK53797o3bs3jEYj9u3bh88//xxff/01HnzwQdx2223yehEREZg8eTIWL16M5ORkLFiwwOlu18qKioqqdIuZiMidmo5jlRmPs7bG6qyv41fW13oDla/79W5GqF9q5vNSE59Dr908ERISgjvuuAODBw/Gl19+ic2bN6NXr15ycAJKhyp5+umnMXnyZKxatQrPPPOMt16eiKjaaiKOVXY8ztoeq7O+jl9ZX+sNeF73QLxBqKp1Cq+BcToBILJJE6/v0+t3xe7YsQN/+9vfMGTIEEiShMWLF+Ouu+5CfHw8gNK+cuPGjcOiRYvw4IMP8qwbEfkcb8WxqozHWVtjddbX8Svra72Bytc90MbjrM4Yo+7GLfUGw6VLHq1XmbE6vZbYFRYW4o033sDvv/+O8PBw3HbbbcjMzERhYSFmzpyJ/v37Y/To0dDpdOjRowdeeuklJnVE5FO8HceqMh5nbY/VWV/Hr6yv9Qbqd92rrmaOV028D15J7M6ePYtFixZBoVBgzpw5uPHGGwGUnu6dNWsWjh8/jg0bNmDSpEm47777cOedd6Jt27beeGkiIq+oiThWlfE44+LisHv3brfLiIiuxyuJXWpqKm644QZMmjQJoaGhLss7duyIV155Bdu2bcOGDRtw4MABzJs3r152XiUi31QTcawq43G2a9cOBoOBY3USUZV4JbEbNGgQBg0aVOE6kiRh2LBhaNu2LQoKCrzxskREXlMTcawq43EqlUqO1UlEVeaVxO7gwYMASseXy8/PR0ZGBtRqtVNL1m63w2q1on379rBarXjhhRcwfPhw9OrVyxtFICKqltqIY56Ox8mxOol8y0az9+9eBQDvj2LnxUuxQGkwOnLkCFasWOG2I68kSXjnnXfw7rvvoqioCDfddJM3Xp6IqNrqIo5VNB4nx+okoqrwSmKnVqud+pH06tULkyZNcrvuTz/9hB9//BHz58+XR3UnIqprjGNEFAi8OtyJY3wYx6WLt956C0IIueUZGxuLjh074vnnn5cfrUNE5CsYx4jI33ktsdu+fTt27NgBrVaLzp07Ayi9td9utyMjIwMnTpzAhx9+iAYNGmDChAneelkiIq9hHCMif+e1xO7+++/HoEGDsHPnTmRkZMBoNOKJJ55wWsdisWDnzp2YO3cupk+fjvbt23vr5YmIqo1xjIj8nVcSO8cja6KioqDX67Flyxb8+OOPLuuFh4fj3XffhVarxeLFi/H6668jPDzcG0UgIqoWxjEiCgReSezKPlQ3ISEBbdu2xeXLl9GiRQsYjUYEBwcD+Ctw3nXXXdizZw927tyJxMREbxSBiKhaGMeIKBB4ZSjz4cOHY8CAAfj3v/8NrVaLRo0aYcGCBYiKisKhQ4fwyiuv4MiRI2jUqBGA0k7JDzzwAO6++25vvDwRUbUxjhFRIPBaHzuFQoGsrKzSnapUkCQJkiThtttuQ3BwMDZv3oz9+/fjueeeQ0REBBISErz10kREXsE4RkT+rtqJ3cWLF3HgwAHY7XbY7XZs3rwZQGlr9sCBA0hLS4NSqUTv3r2xc+dOzJgxA6+88gp0Ol11X5qIyCsYx4goUFQ7sTMajUhNTYVKpUL37t1x4cIFeVlubq68DAC6d++OixcvYsmSJXjxxRf5UGuqc/bP1ld5W1FDj5ih2sc4Rv6qcjFMwtXwMJQUFgEQHqzPGOePqp3YtW3bFlOnTkVRUREUCoUc5MaPH4/hw4ejUaNG6NixI8LCwgAAWVlZmDx5Mr766isMHTq0ui9PRFRtjGNEFCi81sfuueeew9WrV13mf/zxx3jrrbfQv39/jBw5Eo0aNcKwYcOwdetWDB482OlONCKiusQ4RkT+zmuJ3ezZs+WWrs1mw7PPPgu73Y5Fixbh5MmT+PTTT+VH9QwaNAjfffcdzGYzAyIR+QzGMSLyd5IQwpML7ZWWn59fYcfiK1euICoqqiZe2mPZ2dmwWq11WgZfIEkSmjRpgkuXLqGGPg51ZsOx7AqXi5PHvf6aGo1G/vGnqpPiO2J0l0YefTbVajViYmK8XgZ/iGMVqSjGBfL3viKBVm/7Z+uxsRL9fetzfPLFuo++f6BH61UmxtVYr9/r3S3my8GQiAhgHCMi/8PbuYiIiIgCBBM7IiIiogDBxI6IiIgoQDCxIyIiIgoQTOyIiIiIAgQTOyIiIqIAwcSOiIiIKEAwsSMiIiIKEEzsiIiIiAKE154VW1MOHTqENWvWICcnB61bt8aECRPQrFkzXLhwAcuWLUNmZiYGDRqEMWPGQJKkui4uERERUZ3x6TN2mZmZePvttzF69GgsX74c0dHRWLFiBaxWK5KTkxEbG4v58+cjLS0Ne/fureviEhEREdUpn07s0tPTkZSUhD59+kCn02HIkCE4e/YsDh8+DIPBgHHjxkGv1yMpKQm7d++u6+ISERER1SmfvhTbvXt3p+mMjAzo9Xqkpqaibdu2CAoKAgC0bNkSaWlpdVFEIiIiIp/h04ldWTabDZ9//jnuuusuZGVlISYmRl4mSRIUCgWKiooQFhbmsq3VaoXVanVaPyQkRP5/fec4BoF5LAKxTvWFFDCfzar0FWY/YiKqCr9J7DZu3Ijg4GAMHjwYGzduhFqtdlqu0WhgsVjcbrtlyxZs3rxZno6NjUVycrJTckiAXq+v6yJ4XfifxgqXmzSaGnldTQ3ttz4JDg+TP5P+/Nl09BV+9NFH0b59e7z33ntYsWIFZs6cieTkZHTp0gUTJ07E6tWrsXfvXgwcOFDuR+xuGRFRRfwisTt27Bh27dqFuXPnQqVSISwsDBcvXnRax2g0QqVyX50RI0Zg2LBh8rSj1ZudnQ2bzVZzBfcTkiRBr9cjMzMTQoi6Lo5XFRYWVbhclNMYqI6KGhnkOWthETIzMz36bKpUKp9tqJXtKwwAQ4YMwbx585z6CgcFBSEpKQmrVq3CwIEDK1xGRFQRn0/sLl++jJSUFDzyyCNo1qwZACAuLs7pZomsrCxYrVa3l2EBQK1Wu5zhcwi0RKY6hBABeDwCrT71yV+fR3/+bFalrzD7ERNRVfl0YmexWLBgwQL07NkTPXv2hMlkAgDcdNNNMBgM2LdvH/r374+tW7eiU6dOUCh8+iZfIqrnPO0rbDQaa7wfcaD0X6yswKt3oNSjfqqJz6FPJ3ZHjhxBeno60tPT8fXXX8vz33zzTTz22GNISUnBBx98ALvdjtmzZ9ddQYmIPOBpX2GFQlFr/Yj9uf9idQRKva+Gh0EjKtentz73Afa1ujdp0sTr+/TpxC4hIQGbNm1yu6xRo0ZISUnB2bNnER8fj4iIiFouHRGR5yrTV7g2+hEHct/aigRavUsKi2CxuO+G5E597gPsi3W/dOmSR+tVph+xTyd21xMVFYWoqKi6LgYRUYUq21e4NvsR+3P/xeoInHoHQh3qr5r4DLJTGhFRDXLXV9hkMjn1FQbg1Fe4Xbt25S4jIqqIX5+xIyLydVXpK6xUKtmPmIiqhIkdEVENqmpf4YSEBPYjJqJKY2JHRFSHKuorzH7ERFRZ7LBBREREFCCY2BEREREFCCZ2RERERAGCiR0RERFRgGBiR0RERBQgmNgRERERBQgmdkREREQBgokdERERUYBgYkdEREQUIJjYEREREQUIJnZEREREAYKJHREREVGAYGJHREREFCCY2BEREREFCCZ2RERERAGCiR0RERFRgGBiR0RERBQgmNgRERERBQgmdkREREQBgokdERERUYBgYkdEREQUIJjYEREREQUIJnZEREREAYKJHREREVGAYGJHREREFCCY2BEREREFCCZ2RERERAFCVdcFCHT2z9Z7dX+K4aO9uj8iIqodG45le32fwtzE6/sk/8bEjoiIqIbZP1vPJIxqhV8ndhcuXMCyZcuQmZmJQYMGYcyYMZAkyeuvU51WVkVf5FFBl6q8XyIKfLUV44gocPhtHzur1Yrk5GTExsZi/vz5SEtLw969e+u6WEREXsEYR0RV4bdn7A4fPgyDwYBx48YhKCgISUlJWLVqFQYOHFjXRfPYxiqclpc8PHuY1DnG432WfLoeV8PDUFJYBEBUuky1hf0LqT6pixhXE33AgMrFo7rm7X7RRLXNbxO71NRUtG3bFkFBQQCAli1bIi0tze26VqsVVqtVnpYkCSEhIVCpPKt+owhtlcspYhpUeVt3JA/LolarPd6niGkERYgWmmAthO/mdVBUok4O13vvvP3+AKXHvuznjapGitDKn2O1Wg1RwYfT0++yP6npGOe4pKtWq1GydzsAIMbS0FvFd/K/vek1st/bNbmV3kaSgMIQLZRGg9t4p4xujB01dBwa1cheK6c+xydfrLunv9WViXF+Gw2NRiNiYv5qBUqSBIVCgaKiIoSFhTmtu2XLFmzevFme7tu3LyZOnIgGDTz7Uf9HTDVam31urPq2tSXxHwCA8DouRk247nvnD+8PITo6uq6LUOtqK8ZFR0cD95XGgLFeKrs/qCje1afjQIHHb/vYKRQKl0xXo9HAYrG4rDtixAi8//778t+jjz7qc1l7XTIajZg6dSqMRmNdF8Xv8Vh6V30+njUd4+rrsa2v9QZY9/pSd789YxcWFoaLFy86zTMajW5PV6rV6kpdmqxvhBA4d+5chZe6yDM8lt5Vn49nTce4+nps62u9Ada9vtTdb8/YxcXF4fTp0/J0VlYWrFaryyUKIiJ/xBhHRFXht4ldu3btYDAYsG/fPgDA1q1b0alTJygUflslIiIZYxwRVYXfXopVKpV47LHHkJKSgg8++AB2ux2zZ8+u62L5JbVajfvuu4+Xq72Ax9K76vPxrOkYV1+PbX2tN8C615e6S8LPLzhfuXIFZ8+eRXx8PCIiIuq6OEREXsUYR0SV4feJHRERERGVYmcNIiIiogDBxI6IiIgoQDCxIyIiIgoQfntXLHnu0KFDWLNmDXJyctC6dWtMmDABzZo1w4ULF7Bs2TJkZmZi0KBBGDNmjPz8yIqWUam5c+eib9++GDBgAI9lNX344Ye4ePEipk2bBqDiY8bjWX2BfAwZ70rV1/jEWMIzdgEvMzMTb7/9NkaPHo3ly5cjOjoaK1asgNVqRXJyMmJjYzF//nykpaVh7969AFDhMir17bff4ujRowAqPl48ltd34cIF7Ny5Ew899BAAHs+aFsjHkPGuVH2NT4wlpZjYBbj09HQkJSWhT58+0Ol0GDJkCM6ePYvDhw/DYDBg3Lhx0Ov1SEpKwu7duwGgwmUEFBUVYe3atWjatCmAio8Xj2XFhBB45513MHToUOj1egA8njUtkI8h4139jU+MJX/hpdgA1717d6fpjIwM6PV6pKamom3btggKCgIAtGzZEmlpaQBQ4TIC1q5di4SEBPlh7DyWVff111/j/PnzGDRoEH7++Wd06dKFx7OGBfIxZLyrv/GJseQvPGNXj9hsNnz++ecYMmQIjEYjYmJi5GWSJEGhUKCoqKjCZfXd8ePH8euvv+LBBx+U5/FYVo3JZMLGjRuh1+uRm5uLL774ArNmzeLxrGH15RjWx3hXX+MTY4kzJnb1yMaNGxEcHIzBgwdDoVC4PFpFo9HAYrFUuKw+s1gseOedd/Doo49Cq9XK83ksq+bHH3+E2WzGrFmzcN999+GFF16AwWDAnj17eDxrUH05hvUt3tXn+MRY4oyJXT1x7Ngx7Nq1CxMnToRKpUJYWBgKCgqc1jEajdddVp998sknaNOmDW6++Wan+TyWVZObm4u4uDiEhYUBKH02aosWLWCxWHg8a1B9OIb1Md7V5/jEWOLM/2tA13X58mWkpKTgkUceQbNmzQAAcXFxTh1Fs7KyYLVaERYWVuGy+mz//v0oKCiQ77gym834/vvvERMTg5KSEnk9HkvPREdHu7SOc3JyMHbsWGzbtk2ex+PpXYF+DOtrvKvP8YmxxBnP2AU4i8WCBQsWoGfPnujZsydMJhNMJhNuuukmGAwG7Nu3DwCwdetWdOrUCQqFAu3atSt3WX02Z84cLFq0CAsXLsTChQvRo0cPjBw5Ei+99BKPZRXcfPPNSE9Px86dO5Gbm4svv/wS58+fR5cuXXg8a1AgH8P6HO/qc3xiLHEmCSFEXReCas7Bgwfx2muvucx/8803cf78eaSkpCAkJAR2ux2zZ89G8+bN5e3KW0al3nrrLXTo0AEDBgyo8HjxWJbv1KlTWLduHc6dOwedToexY8ciISGBx7OGBeoxZLz7S32LT4wlf2FiV89duXIFZ8+eRXx8PCIiIjxeRq54LL2Lx7Nm1cdjWJ8/U6x7/ak7EzsiIiKiAOH/F5OJiIiICAATOyIiIqKAwcSOiIiIKEAwsSMiIiIKEEzsiIiIiAIEEzsCAGRkZCA9Pd3tsqNHj+L8+fPlbpuTk4MTJ07Abre7Xb5y5UqcOHGi2mU0GAxYvnx5hWW5evUqcnJy3C4rO/p6dRUWFla4vKCgwKWcf/zxB0aOHAmr1Vrl/RJR1TDGVQ5jnP9iYkcAgI8++ggbNmxwu+zjjz/GwYMHy932yy+/xLx585CVlQWgNLjYbDZ5+eHDh5GbmwsAsNvtMJvN5QbIithsNuzevRv5+fkV1uP11193mX/+/HlMmjQJp0+frvTrXuvYsWOYOHEi8vLy5HkmkwmnTp3Cjh078Oqrr+LJJ59EcnIyzGazvI7jgdPlPYswNzcXEydOxPHjx6tdRiJyxhjnOcY4/8ZnxRIAQKPRQJIkebqkpARKpRJA6QOVyz5mxW63y9N2ux379+/HnXfeCb1eDwA4cOAA3nzzTUiSBEmSYLfbkZKSgqVLl0IIASEE5syZg5tuugmbN2/Gpk2bnMrSrFkzLF682KWMjmBR0UOa1Wq1HFwccnNzkZycDI1Gg8jIyMocFhe///473njjDTz99NNo0KCBPP+rr77Ctm3bEB8fj0OHDmH69Ono1KmTU1lVKhUUCgUkSXI6vg4NGzbEhAkTsHjxYkydOhXx8fHVKisR/YUxzjOMcf6PiV09Z7FY5C+mQqGA3W6H3W7Hk08+iYKCAqhUKthsNpw6dQpbtmyBzWZDixYt8OqrrwIAjhw5guLiYgwdOhSHDx9GgwYNcOutt6JPnz7yfidNmoRRo0bhlltuAQBYrVb5C69QKNCwYUO88sorAIAtW7bg5MmTKCwshNFohEKhkP9MJhMAoKioCFlZWYiIiEBwcLBTfcoGbgDIz8/HK6+8Aq1WixdffBE6na7Kx6qwsBBLly7FE088gZtvvtlp2T333IN7770XJpMJY8eOxQ033CDXf8eOHUhPT8egQYPkYz5nzhzceeed6Nu3r9N+evTogUceeQRLlizBwoULA+KB1ER1iTHOc4xxgYGJXT1msVgwZswYp3m7d+/Gfffdh7feektufc2ePRudOnVCYmIibDabUz+Obdu24dZbb0VkZCQ2bdqE5s2b429/+xt++eUXqNVqSJKEwsJC/PDDD3L/FkmScO+99wL4q4XXsGFDAEBISAiUSiW2bduGLVu2QKlUQpIkp9Z0SkoKSkpK8Oyzz8qB1J2cnBzMnTsXKpUKL774YrUfF7NlyxZ06dIFCQkJLsuuDbZlHT582OmYaTQaNGvWDCtXrkRcXBwaN27stH6fPn3wyy+/4LPPPsPo0aOrVWai+owxrnIY4wIDE7t6TK1W4+2334Zarcb7778PhUKBf/zjH3KQKRtoHBxBymKx4JdffsGvv/6K1157DVlZWUhLS8PUqVPx559/Ij09XQ56Xbp0AQCkp6fLge///u//ALgPFpIk4YEHHsCoUaOc5jtais8//zw6dOhQYd3MZjNmzZqF8PBwvPDCC9VuFVqtVuzZswdz5sxxu2zs2LFQq9VyC3bKlCmw2WxYuHAhLly4gMGDBztt8/DDD+PMmTNYunQp5syZ43Kshw0bhpdffhkjR46s8LIMEZWPMc5zjHGBg0ezHpMkCdHR0QBKg5lSqYROp8OqVauwY8cOp3V///13fPTRR/J0VFQUOnXqBACYPn06SkpKMGzYMOh0OvkU/u+//45Ro0bhxIkTSE9Px+23346XX34Zbdu2dSpDdnY2Ro4cKc+Li4uT+61kZWXJ/VrcsVqtSE9Ph0qlgiRJKCoqgtlsRk5ODu699160atUKV69exdWrV1220+l0Hl+2uHTpErRaLZo3b+6yTKlUYubMmVCr1fj+++/x+eef41//+hfCwsKgUqmQk5ODuLg4p23UajUef/xxfPXVVzAajQgNDXVa3qpVK6hUKly+fBk33HCDR2UkImeMcYxx9RETO5JdunQJCxcuxB133IFRo0a5dHydN28eOnTogGHDhqGkpAR2ux1JSUkoKCjAyy+/LF96AEo7yf7www/4448/0KNHD+zfvx+33347BgwYgDZt2sjrSZLk0v/k3LlzAErv/vrmm2+wdOnSCu+ymjFjhtxytlgssNvteP755wEARqPRqZUJAEIIWK1WjBkzBkOHDvXo2OTk5CAqKsrtMoVCgXbt2gGA3Elar9cjJycHf/zxByRJQps2bZCdnS1vU1xcDEmS8Mwzz5T7mlFRUcjJyWHQI/ISxrjyMcYFDiZ29ZzBYJCD05UrVzBkyBC0bNkSGo3G5c4rhUIBlUqFkJAQlJSUQK1WQwiB119/HXfddZd8KeDAgQP48ccfMXPmTOTk5ODMmTNyq7Ffv35O+xRCuPQ/cfj73/+OL774Anv37nU5ze+g1+uxfv16efr999/H+fPnMXv2bADAggULEBoaWmFw8YRKpYLRaKxwnezsbPz6668ASjtcr1u3Dk899RTGjRuH0NBQXL58GXa7HUIIfP/991i5ciWee+65cvvQGI1GXqIgqibGOM8wxgUOjmNXj6WlpeGRRx7B+++/DyEEbrvtNjz00EM4fPgwHnzwQYwcOdLpz3GpYtSoUZgzZw4sFgveeecdXLx4ETfddBN++OEHZGRkID4+Hunp6Vi6dCluuukmmEwmBAUFuS2Du7GehBAAgOjoaPTs2RNbt26t8sCbf//73/Hdd98hLS2tSts7NGnSBJmZmbBYLOWu8+mnn8qXfXr06IG4uDgcOnRIbjE7trVardi+fTs6duxYbsAzm83IyspCkyZNqlVuovqMMc5zjHGBg6lyPdasWTOMGDECQ4YMwQcffCDP79OnD7p27YrCwkKnu5nmzp0rX6aw2+0wGAzYvXs37HY7li5diujoaDz88MPQ6XR49tlncf78eVgsFhQUFECr1cJkMsFut8NqtSIkJAQajUYeesAxuKfRaJSDHgDcddddKCwshFKprHA08/J0794dcXFxeOutt/DSSy9Bo9FU6VjFxMSgcePG2L9/v3xLf1l//PEHdu3ahX/+859YtWoVgNLOw2XHlIqPj8eGDRuwb98+pKWl4emnny739b755hs0a9as3EsjRHR9jHGeY4wLHEzs6rn777/fZZ5Go8E777yD06dP49VXX5UvV0iSBKVSCa1WK687Z84c6PV6p9vs3377bezfvx9qtRrvvvuu3Afkp59+ghACNpsNTzzxBPr16ycHvCeffFLevlWrVvL/b7zxxirXLSsrC+fPn8eTTz6J6dOnY/HixXj22WfLbVlfz7Bhw7B582YkJCQ43YGWn5+PhQsXolWrVujevbsc9MrWAyg9fpcuXcLatWtx5513IjY21u3rFBYW4r///S+SkpKqVE4i+gtjnOcY4wIDEztyq3///ti3bx+2bdvm1GH4Wm3btoXFYkFaWhrS09Oh0+kwYcIETJgwAUBpP4zk5GTMmzcPERERLndo2e12xMTE4K233gIAbN26tdqPmxFC4H//+x/WrVsHrVaLJUuWYOLEiVi0aBFmzJiBJ5980uUOLk8MGDAA+/fvx9KlS/Gf//xH/jHQ6XTo3r077rzzzgrHevrzzz+xcOFCxMbG4sEHH3S7jsViQUpKCpo1a+bSV4eIvIcxzhVjXGBgHzsCAKdLAwDQsWNHdOnSxemh2deu89133+Hhhx/GmDFjMG3aNGzdulV+OLXjmYevvfYa/u///g/Z2dl46qmnsG7dOhQVFcn70Ol0aNGihTx977334oUXXnB6HbvdDpvNJj+nsaLAkpubixMnTuCdd95Bv3798Nprr0Gj0eDmm2/G9OnTUVBQgOeffx4LFy5EQUFBpY6RJEl49tlnkZeXh1deecWpo/HTTz/tdCdcWefPn8e7776L559/HrGxsZgyZYpLp22gtJP3yy+/jMLCQkyaNKnCehJR5TDGXR9jXGDgGbt67uzZszh06BB+/fVX9O/f32nZxIkTERYWht9//x3nzp3D+fPn0bt3b3l5x44dcdddd6Fjx45o06YNlEoljhw5gnnz5uHUqVMICgrC+PHj8be//U3e35o1a7B7924888wzuPnmmzF48OBy7wZzKCkpwZQpU5Ceno7IyEi34ywBpcHx/PnziIiIwDPPPIPOnTs7Le/YsSNeffVVfPDBB2jZsmWVRmkPCwvD7Nmz8dVXX7m93OHoI2O32/HZZ59h69atKCoqQnh4OMaOHYs77rij3GAWHByMbt26YejQoS6PESKiqmGMqxzGOP8niWubKFSvZGRkYP78+YiPj8c//vEPtw+Q/umnn/DWW2+hdevWeOaZZyoc8NJms+HNN99E586d0a9fP5dWm9lsxueff4477rijUiOlnzhxAlarFTfeeGOFASE1NRVarRYxMTEe79ub/vzzT0ybNg2LFi2C3W7H+++/j379+qFv375V7vdCRFXHGOddjHG+j4kdERERUYBgHzsiIiKiAMHEjoiIiChAMLEjIiIiChBM7IiIiIgCBBM7IiIiogDBxI6IiIgoQDCxIyIiIgoQTOyIiIiIAgQTOyIiIqIAwcSOiIiIKEAwsSMiIiIKEEzsiIiIiAIEEzsiIiKiAMHEzkcdPHgQP/zwQ6W3+/jjj3H58uUqv67dbq/ytr7gwoUL2L59u9O8y5cvY8OGDbBarXVUKt9TUlKCS5cuebx+Tk4OsrKyarBEVN8wxlUNY5xn6nOMY2LnA5o3b46ff/7Zad6SJUuwZs0al3VzcnKwefNm+e/aL/j69evxzTfflPtaly9fxrRp0+Tgdvvtt2PdunUAgO+//x69e/eGyWRy2mb06NFQKpVQqVRQqVRQKpUYOXKky76joqJw+vRpzypdASEEjh49iiNHjkAIUaltd+/ejVdeecVp3v79+zF16tQKt+vWrRt++uknp3lHjx5F06ZNy91m3759uOeee1BcXOw0v6ioCJIkwWKxVKrsDmvWrEH37t3dLjtw4AAaNWrkNM9kMuH222/Ht99+W+F+n3jiCSxZsgQAsGHDBtx1110el+mdd97BbbfdhpKSEo+3IXJgjPMexrjyMcaVYmLnA7RaLXQ6nTxtMpnw1VdfYcKECS7rnjp1Ck899RTS0tKwdOlSfPrpp9iwYQM6dOiAhIQEXLp0Ca+++ipuvvlmdOrUCTNnznTaPjg4GLt27cKTTz4JAFCr1QgJCUFhYSEefvhhJCYmIjg42GkblUqFt956CzabDTabDStWrIBarQYATJ48GTNmzAAAaDQaeb4n+vXrh8cee8xpXnFxMfr27YvExEQMGzYMvXv3htFo9Hifv/32GxITE53mbdu2Dffeey9SU1Nx5swZnDlzxiUgXblyBSEhIQBKj7/NZnOqj81mc/kxeOONN9ChQweEhoYCKA2cHTp0wK233goASEhIQOfOndGqVSt89913AIAePXogOjpa/ps1a5ZLHRw/Lu4EBQVBo9HI03a7HQ8++CAyMjLQpk2bco/LhQsXsHr1arlsSUlJKC4uxsqVK13WtdlsMJvN8g+j3W7HqlWrMHXqVCiVSqd17XY7zGZzua9LBDDGlee7775D69atPd4fwBhXHsa4v7g/slTjbDYb7HY71Go1JEmCUqmUg8r69ethMBjklgcAWK1W/OMf/0CDBg3QoEEDTJo0CR999BEefPBB9OvXD926dcP06dOxZcsWHD9+HCNHjsRvv/0GSZLkfRQXFyM0NBSffvopRo0ahaKiInnZnj170K1bN0yZMkX+EAcFBQGA0z4cHPMUCkWlAp1DYWEhfvjhB6SlpTnNT05ORmxsLL777juYTCZ0794dGzduxPjx4yvc3/HjxzFgwAAUFRUhKCgI8+bNw9ChQ7Fy5Ups2bIFjRs3xs6dOwEA586dw+HDh9G+fXscPXoUkiTBZrPh7NmzUKlUeP311/Htt9/CarXi0qVL6NixI2w2G4YOHYrFixfL+/jmm2+wevVqzJo1C/fddx8OHz4sl0elUuHIkSNu671x40YMHjwYTz/9NCwWC4qLi6FWq6FSqeTjqVKp5MBcNsiVVVJSgoceegh//vkn9uzZg+jo6HKPz3/+8x8kJibKrWSlUonXX38dDzzwALp164aePXvK665fvx6PP/44goKCoFKp5M/J5MmTMXnyZJd9t2vX7rotaap/GOPcx7iy9X3sscc8vjTMGMcY5ykmdnXkiy++wL/+9S+oVCqkpaWhf//+kCQJ/fr1w/79+/HSSy+hdevWOHnyJFauXIkFCxagRYsWMBgMAEovN6Snp6Nt27YYMGAAFAoF9uzZg7///e/IyspCXl4e7rzzTlgsFixevBhdu3ZF69atoVar5dZq48aNYTAY8PPPP0Or1UKSJMTFxcFkMuHRRx+VW1o2mw0zZ87Ea6+9BgAoKCjAwIEDAZQGP3dB8Xr27NmDzp07y63LuLg4AECHDh3wz3/+E0Bpyzs+Ph55eXnX3Z9CoUBYWBhycnIAAO+//z62b9+OjRs3IiEhATt27JDXjYuLkwP6F198geLiYhQXF2P79u24dOkSli9fDgA4ceIE7rjjDhw/ftzptYQQmDRpEp566ikYDAasWLECkyZNQnx8vNzabN68OXr06AGbzYbc3FycPn0awcHBLj8QKpUKXbt2xeXLl6FUKuUAbDQaERMTgylTpuD55593qW9xcTEeeOABZGdnY/fu3WjQoEG5x+ajjz7Czp07XeoxdOhQTJgwAYMHD8ann36KAQMGAADGjh2LsWPHAgDy8/PRsWNHvPfee2jVqhVGjhzpNpgTXYsxzn2Mc1iwYEGl+vsxxjHGeUxQnYuPjxfnzp0TQggxdepUodfrxeeffy6EEOLTTz8Vw4cPl9c9fPiwiI+PFykpKWLcuHHCZrOJjIwMkZubK/Ly8pz+rly5IjIzM4XZbHZ5zc8++0y0aNFCdO3aVXz88cfi7rvvFpMnTxbFxcUu62ZlZYlz586JQYMGiQ8//FCcO3dOZGVlyeWdNWuWEEKIxo0by/W4nqeeekpMnDhRDB48WLz99ttu1/npp5+ETqcTp06duu7+/vjjD9GyZUt5evXq1eKee+4RLVu2FDt27HBat0WLFiItLc1pXsuWLcUff/whtm3bJmJjY0WbNm1EixYthEqlEm3atBFt2rQRrVu3FjNmzBBnz54VAOR1li5dKoQQIjs7W0yfPl0YjUbx7rvvil27dokPP/xQ3H333fLrdOzYUezatUs+BjNnznSpy8cffyz69u0rT9tsNlFQUCCMRqM4cOCAuOGGG4TBYBCzZ88Wly9fFkajUf4zGAwiPz/f6RiGh4eLdevWCbvd7vbYzZw5UygUCvH444+LwsJCeb7dbheJiYlixowZQgghTp48KZo2bVrh+0DkDmOcc4w7efKkiIqKEl9//bVT3KoIYxxjnKfYx87H6HQ6TJ48GatXrwZQ2qKKj493We/uu+/G//73P/z555/49ddf0bx5cwwePNjpr2HDhlAoFE6nuXNycvDMM8/g2WefxZdffokmTZrAarVi+fLlOHHiBDp16oR9+/bJ65vNZoSEhECv1yMjIwMxMTHQ6/UIDw+vVifTnTt3onfv3ujduzd27drlsvyhhx5CQkICpk6dihtvvLFKrxEcHIwlS5agqKhIPp5A6SUQR2u2rNdeew0//fQTTp48iTNnziA1NRVWqxVjxozBfffdhz/++AMvvvgiWrdujTNnzmDLli2IjIzEE088Ie/3woULuP/++7Fr1y6cP38e3bt3x5w5c+TXUCqVSExMRHR0NFatWgVJkmC327Fjx45yW+/Hjx9HVFQUGjZsiMGDB8vvw8KFC9G4cWOn/iwNGzaUO0MXFBTgrrvuwsSJE/HCCy9AoVDIZx/K/v3www/YtGkT0tPT5TMdQgg8/fTT+OSTT7B8+XJER0fjlltuQWZmptPrXe8SOdG1GOOAxx9/HC+88EKl+9ddizGOMc4dJnZ1aNSoUWjZsiVSU1PRr18/dO3aFdOmTcO4cePkvgzff/89brnlFpdtW7VqhcmTJ2PmzJlyx+R7773X6U+pVDqdFp89ezbi4+Oh0Whw5MgRdOjQAZGRkQgNDUXTpk3x2Wef4ZlnnsGIESOQmZkJAHj33XfRqFEj6PV6nDhxAomJidDr9YiIiMD69eurVO/U1FScPn0at9xyC/r06YPdu3e7BNDXX38dy5cvx9y5c13u5CrPxYsX5S/jM888AwC45557oFQqMXPmTHkoAJPJJAe9K1euIDk5GZcvX8bRo0dx9913lxvMlUql3LG2adOmePjhhzFv3jyoVCqYzWYMGDAAAwYMwNq1a1FSUoKoqCjEx8eja9eu8j7sdjs++eQT5OTk4OGHH5bLM2XKFPky0LW6dOkCq9WK4uJifPPNN2jatCmKioqQl5eHhg0b4scff0RRURGKiopgMBjkO9giIiKwf/9+vPzyyzh27BiKi4vRoEEDHDhwAEajEUajEVOnTkXz5s2RmJiIzz//HCqVCgUFBbj//vtx8OBB9O7dG6tWrUJOTg4OHjyIJk2aICcnBzk5OViwYIFLZ2uishjjXGPcqlWrYDQaMXHixErvlzGOMc4TTOzq0NWrV7FixQoYjUYcOnQIV65cAQA0bNgQXbp0wRdffIGDBw/ijjvucLv9fffdh++//x5CCISGhqJHjx5Of5IkycOFCCGQmJiIo0ePYtGiRQgLCwNQ2v+h7FhSkyZNwunTp+X+DI4+FhkZGVAoFLh48SLy8/MxYsQIaDQa2O32SrdqHR18u3TpgpEjR+Lq1as4ePCg0zoNGjTAo48+ipEjR+KDDz7waL/NmzeXv5BLly6V5w8fPhxBQUH4+OOPAZQGmZCQEJjNZrRr1w6fffYZgoKCsG7dOoSHhyM2NhatWrWS/9544w0sW7YMLVq0kFvF//znP3HkyBHMnTsXN910E9RqNbZv3479+/cjLCwMV69eRUREhEsZrz1WQghotVqsXLkSn332WaWCiEajwaOPPoopU6aUu46jX09ERARyc3NRVFSErl27Ijg4GMHBwcjKykKzZs2ctlm5ciUyMzOxa9cut3Uo69o7yIjKYoxzjnFZWVl44YUXsGrVKigUlf/5ZYxzxRjnijdP1KFrPzBlv+jTp0/HgAEDMHXqVGi1Wpdt169fj5deeglt2rRBUFAQIiIi8MILL+D8+fMIDQ1FTEwMOnfuLJ/6TktLw+DBg+W7kRxSU1MRFBTk1DK1Wq2Ij4/H7t275Xl79uxBXFwcIiMjATgHDlHJseZ27dqFUaNGYf78+QCAxMRE7Nq1C71798bo0aMxa9Ys+dKMY0yp6pAkCZMnT4ZWq4UQwmm8qu+++w5t2rRBq1atAJQGiQ0bNuDUqVPyMAWzZ8+GyWTCggUL5H1OmjQJ48aNQ9euXdG4cWOkpaXhtttuQ0REBHr27ImTJ0/Kx7a4uBgLFy5EYmIiSkpKkJiYCLVajeLiYvz73/8GAPTq1Qv79++vVL1MJhP+/e9/o2vXrpg3b548JEN51q9fj7/97W9On6eMjAz06dPHab3//Oc/ePbZZ/0yoJFvYYxzjnGnTp1CdnY2+vbtC6D07FZRURF0Oh2OHTuGFi1aVOp1HBjjSjHGlWJiV4fsdjvGjRuHkJAQp1aOEAKbNm2CVqvFL7/8AqvVKl9ucASYm2++GcnJyRg8eDCUSiUOHjwIhUKBhx56CLfccgueeOIJCCFgMplQUlKC5s2bu4zWvnbtWrz++usoLCzEsmXL8Pe//91tOfPy8jBlyhQ8/vjj8jyTyQStVus0XIGndf7666+RkpIiB5ohQ4Zg165dmDlzJvR6PR566CG89957uHz5MjZt2oQvvviiUq/hjqPseXl5cksegNtxkSIjIzFx4kR07NjRJSA4tG3bFhkZGTh06BBOnDiBhx56SB7WYPny5Vi9ejVWr16Nli1bymNAAaV3333yySdOQwFUxbFjxzB27FgkJiZi8+bNGDx4MLKysrBgwQKXMbqA0oFI586dK59JcMjIyEDz5s1d1ncEPHcj2QshsHXrVnzxxRdo0qRJlcpP9QNjXCsAf8W47du3o3///vK6aWlpGDVqFPbv31/hQMGeYIxjjJPV5p0a5GzIkCFi+/btQojSu7I6d+4sLl68KEaMGCH69esn8vLyxJgxY0S/fv3E+fPnhRBCHDp0SMTHx8v7+OSTT0S3bt3ELbfcIvr27SsaNWok2rRpI/r27Sv69OkjunXrJg4dOuTy2uvWrRM33HCDOHz4sPjtt99EmzZtxNy5c4XJZHJa7/Dhw6JTp07i9ttvF1arVRw/flykpKSIqKgo8dtvvwkhhDhy5IhYs2aNUKlU8p1k5Tl48KAAIDIyMuR5X3/9tVCpVKKgoEAUFxeLcePGiYiICNGmTRuxfv16j47lr7/+KhQKhWjYsKFo2LChCAsLE4mJiS7r/fe//xX9+vWTp9PT08X27dtFZGSkOHPmjDz/o48+EmfPnhXHjh0TSUlJ8l1TQpTeSRUbGyuaNGki7r//fvHyyy+L7Oxs8cMPP4inn35a3HDDDeLEiRPiueeeE3q9Xrz11lvCarUKIYTo3bu3+Pbbb4UQQuTm5oorV664lPG9994Tt956q9t6bt++XajVahEUFCQefvhh+Xh/9913olWrVqJ58+ZizZo1Ttt8/PHHIjIyUixatEied+zYMbF582ahVCrlz5Y7iYmJ4quvvhJCCPH777+LRo0aCSGEePDBB8WAAQPEkSNHyt2WiDGuVNkYV9a5c+c8viuWMY4xzlNM7OrQ5s2bnT5wv/76qwgNDRXjx48XBoNBCCGExWIREyZMEA0bNhSXL18W+/fvdwp610pKShIpKSku881ms9i3b5+YP3++6NChg+jVq5cctIQQIjMzUwwfPlxER0eLf/3rX2LPnj1CCCHmzZsnRo8eLQfDY8eOiX79+okVK1bI2y5fvly0bdtWTJ06tVrHozrOnTsnJk2aJE//9NNPTl/+FStWiF69eokxY8aIkydPyvOPHj0qmjVrJsaPHy9sNpvLfnv06CHatGkjByqHa4PV+PHjRXR0tHjxxRedln377beiffv2Ytu2bdetg81mE/379xdqtVo8//zzbtdZvny5aNKkidi3b5/LssLCQjFx4kRx+vRped6cOXNETEyM+PDDD53WnTFjhujatatYvHjxdcvlcPToUREZGenx+kSMcd7DGMcY5ylJiEp2HqAa9fvvv6N9+/Yu88+dO4fY2Ngq79diseD2229HXFwcHnjgAQwePNjtevv378eyZctw9913Y9SoUVV+vfrGaDRCoVC4HWLAbrd73FE6NTUVWq0WMTEx5a6TnZ1d4fKybDYbCgsLKxzck6g2Mcb5J8Y4/8HEjoiIiChAcLgTIiIiogDBxI6IiIgoQPhEYldYWIinnnoKWVlZ8rwLFy5g+vTpGD9+PNatW+c0jlBFy4iIiIjqqzpP7AoKCrBgwQJkZ2fL86xWK5KTkxEbG4v58+cjLS0Ne/fuve4yIiIiovqszhO7JUuWyKNwOxw+fBgGgwHjxo2DXq9HUlKSPEJ4RcuIiIiI6rM6T+wee+wxDB061Gleamoq2rZtK99W3bJlS3nE64qWEREREdVndf5IscaNG7vMMxqNTmPYSJIEhUKBoqKiCpeVfYxKWVar1emxIZIkISQkBHl5ebDZbOWWTZIkREdHIycnx6/78bEeviMQ6gD4Xj1UKhXHsXLjejHOX8TExDh11/F3gVYfIPDq5Gv1qUyMq/PEzh2FQiE/N9BBo9HAYrFUuKw8W7ZswebNm+Xp2NhYJCcne3yQoqOjK1F638V6+I5AqAMQOPUIVDabze2zMP2JJEkASuviC42I6gq0+gCBVyd/r49PJnZhYWG4ePGi0zyj0QiVSlXhsvKMGDECw4YNk6cdb1p2dvZ1z9jp9XpkZmb65ZvrwHr4jkCoA+B79VCpVB6PVE9EFMh8MrGLi4tzuiEiKysLVqsVYWFhFS4rj1qtdjnL5+DJj5IofaZuJWrgm1gP3xEIdQACpx5ERIGizm+ecKddu3YwGAzYt28fAGDr1q3o1KkTFApFhcuIiIiI6jOfPGOnVCrx2GOPISUlBR988AHsdjtmz5593WVERERE9ZkkfPg6ypUrV3D27FnEx8cjIiLC42Weys7OLrdjsc1mg8FgQFBQEMxmc5X270uud4OJL9JqtU59JyVJQpMmTXDp0iW/vfwXCHUAfK8earWafezc8CTG+QN/jF8VcfyuXBvj/JWvxYPq8sX6VCbG+fQnKioqClFRUZVeVl02mw3FxcUIDw9HUFCQPGaeP1Or1X51d5zdbkdhYSFCQ0MDIvBVxoZjNXOLfVLnGNg/W++lvUm4Gh6GksIiAAKK4aO9tF+qDWVjnD90Y/G3+HU9jn7f9TXG+aOajMvexk+TGwaDwW8CXqBSKBQIDw9HUVFRlc/IEpF7jHF1jzHO+7yXfEkI/9OIwv/fcPU3/FaXgwGv7vE9IKo5/H7VPb4HVBP4qSIiIiIKEEzsqNZJkgS1Ws3WKhERkZexj52HvNfp3DOV6YweHh6O8PBw5Obmynda6XQ65OXlwWg0AihNpho1aoTc3FyUlJTI26pUKuh0OqhUKhgMBhQUFDjtW5IkxMTEuGx3PRqNBtHR0cjMzITdbpfnBwcHQ6fToaSkBEqlEvn5+TCZTB7vl4hqhi/HOK1Wi9DQ0OvGOHexqrZjXFlRUVEwGo1yGYlqAxO7AKJWq2E2m12esqFQKBAZGen2zquoqCiYzWbk5eUhMjISISEhchBSKBSIioqq0h1bjjuJg4KCnAJvZGQkcnJyYLPZEBISgoiICCZ2ROSRimJcebGqNmNcWSEhIQgODmZSVwnVbVwIcxOnaSm+Y7X256+Y2AUIIYQcnFQqldPYOw0aNHAbDIODg6FQKFBQUAAhBAoKChAZGSkHogYNGsBoNEKj0VS6PI5xmq5N7AoKCuTn81qtVl6ODRD+NBQA+afrxTh3saq2Y5yDJEmIiIgIqCFayH/wVzVAWK1Wp6BXNqDk5+e7bTWqVCpYLBY5QNpsNqfkLz8/H8XFxZUui0KhgFqtRlFRkdMYgHa73akcYWFhPFtHRB65XoxzF6tqO8Y5REZGwmQyMbGjOsHELkDYbDaoVCooFAqXB7OX129EoVC4LBNCQJKkCre7nqCgINhsNpjNZigUCpfLHCqVCnq9HkFBQbh69WqVXoOI6hd/iXEajQYajcalLx9RbWFiF0BsNhuCg4M9biVeGxwdHEGvqoKCguQyWK1WlxatzWaT+9npdLpqvRYR1R/+EON0Oh2uXr3qM4+iovqHfewCiOOGBEe/j+sRQkCpVDrNq27AA0qDnkKhQHBwMCRJgt1ud7ncYbPZkJeXh8aNG0OSJAZBIrouX49x4eHhsFgsAfF8cfJfTOwCiNVqhVarRXFxsUdBz2KxQKvVytNKpVIOUlWlUqmgVCqRnZ0Nu90OjUaDyMhIAKWXKIKDg3mJgoiqxNdjXEhICBQKBfR6PYDSJDI4OBgajYbdTqjWMLELIGUvDXjCYrFAkiT59v+wsLBqtzQdfU8cZTCZTNDpdNBoNLDZbNBqtbDZbDCZTIiIiIDZbObZOiLyiK/HuJycHKczghEREbBYLBzyhGoVE7sAYrVaYbfbK9Uh+OrVq9DpdPJDqHNzc6tVBscQAA5CCFgsFgQFBcFisSAvLw8RERFyUpefn1+t1yOi+sMfYlxZQgjY7fZqnSEMROUNj3TtOHRUNUzsPFSZUdJrW2Fhofz/zMxMAO6DV0ZGhss8k8mErKwsaDQaWCwWtwHI3XbluXLlisu8smUxm83Izq6ZMc+IqOp8OcYZDAb5DJmvx7iy2HClusDEjmC32zmeHBEFLMY4qk+Y2BEREVHAESePV3lbk0YDcc2ldX95RBkTOyIfVJ2AVB77+Ute36dDTZQXANB5YM3sl4goQHGAYiIiIqIAwcSOiIiIKEAwsSMiIiIKEEzsiIiIiAIEEzuqdZIkQa1WQ6Hgx4+IiMibeFesh8obKbumJHWO8Xjd8PBwhIeHIzc3F2azGVqtFjqdDnl5efKjbCRJQqNGjZCbm+s0artKpYJOp4NKpYLBYHB6jmtwcDAiIiKgVCphtVqRn58Pm83mUZk0Gg2io6ORmZnpNCBocHAwdDodSkpKoFQqkZ+fz/GlaslGL4/qrhEaWCxhXt0n1R1fjnFarRahoaHXjXExMTF1HuPKioqKgtFo5CPFqFYxsQsgarUaZrMZarXaab5CoUBkZCRUKte3OyoqCmazGXl5eYiMjJSfqahUKqHT6ZCfnw+LxYLIyEjodDrk5OR4VBbHA7qDgoKcAm9kZCRycnJgs9kQEhKCiIgIJnYU8A4dOoQ1a9YgJycHrVu3xoQJE9CsWTNcuHABy5YtQ2ZmJgYNGoQxY8bIzxqtaFl9VVGMi4qKqvMYV1ZISAiCg4OZ1FGt47WwACGEkIOaSqWCEEJe1qBBA7cPvg4ODoZCoUBBQQFKSkpQUFAArVYr76OgoAAmkwl2ux3FxcUuwbQijucpOoIfUJrYFRQUyC1iq9XKy7EU8DIzM/H2229j9OjRWL58OaKjo7FixQpYrVYkJycjNjYW8+fPR1paGvbu3QsAFS6rr64X49wlULUd4xwkSUJERIT8GDSi2uTTZ+z27t2Lt99+22X+hAkT8Oeff+Krr76S5zVu3BhLly6tzeL5FKvV6hT0ygaU/Px8KBQKhIU5XzZTqVSwWCxygLTZbHJguzYRVKlUHl+iUCgUUKvVuHLlCnQ6nTzfbrc7Bd+wsDCeraOAl56ejqSkJPTp0wcAMGTIEMybNw+HDx+GwWDAuHHjEBQUhKSkJKxatQoDBw6scFl9db0YV1JSgsjISKdtajvGOURGRsJkMtX7M6xUN3w6sbv11lvRs2dPedpkMmHKlClo164d/ve//2HatGmIj48HgHp/5sdms8mtUyGEU2u2pKTE7fFRKBROfVGA0laxJElO2wOlSVhRUZFHZQkKCoLNZoPZbIZCoXAJmCqVCtHR0RBCICsrqzLVJPI73bt3d5rOyMiAXq9Hamoq2rZtK5/xadmyJdLS0gCgwmX11fVinDt1EeM0Gg00Gg2ys7NdEk2i2uDTiZ1KpXLqM7Fjxw706tUL0dHRuHjxItq3b4/g4OA6LKFvcQQ+Ty9xXhvYHK4NehERERBCwGAweFSOoKAguTVttVrlIFi2nDk5OXKflry8PI/2S+TvbDYbPv/8c9x1113IyspCTMxfNxBIkgSFQoGioiIYjcZyl1175h0o/Z6VPYMlSRJCQkLk/wcKf4hxOp0OV69eLfe1yyuPP3OU3/N6+Gt9vV/umnjvfTqxK8tisWD79u2YO3cuUlNTIYTA5MmTceXKFbRv3x6PP/44oqOj67qYdcpxQ0J5/T6uJYSAUql0mnfthywoKAhardbjDsWObRQKBYKDgyFJktx/5dqy5uXloXHjxm5bz0SBaOPGjQgODsbgwYOxceNGlz5dGo0GFotFvtTnbpk7W7ZswebNm+Xp2NhYJCcnOyWHZRmNRjc3ICjdrltTKtOfDfjr7JtWq4XVaoVSqYRSqXTZj0qlkpM+SZKgUqmc1nHMc8QctVoNrVaL/Px8j8t0bYwDSn+jtFotbDYb7Ha7PKSTuzKWrb9Go0GTJt69Y72u6PV6j9YL/9P9DSUmjcabxak2zTXlCQ73/igANfHe+01it3//ftx4441o1KgRTp48iebNm2P8+PGIiIjAe++9h5UrV2LGjBlut60vrVmr1QqtVovi4mKPEjtHIHJQKpVyIuaYdrQ+Pe17olKpoFQqkZ2dDbvdDo1GI1+O0Gg0CA4OdhpuwBPXtgb9+T3zrA7+Wz9v8+f3+lrHjh3Drl27MHfuXKhUKoSFheHixYtO6xiNxusuc2fEiBEYNmyYPO04btnZ2W6/uxaLxaVjv93u/nJmTansjQV2ux1WqxWRkZEoKiqCSqVCSUmJy35sNpt8+VWSJOh0OnkdR4xzJMhKpRLh4eG4evWqx/19y4txjjN3CoUCDRs2lF9fo9FAqVTi6tWr8j7UarVcJovFgkuXLlXqWPgaSZKg1+uRmZnpUSO9sND9JW9RTsOlLrhrSFnLKXd1ePreq1SqchtqLutWp0C1adeuXRg5ciQAoF+/fujXr5+87OGHH8bTTz8Ng8HglKg4VLc1W9ry8t3WrEKhkPudAH/1Iblea1YIId9UYTabERYWBovFIm/ToEEDWCwWpw7H1xMSEiL/kCgUCthsNkiSBK1WK7e2hRCwWCwIDQ116hDtjrvWrKetQl9WUR3C/zT6XMu1PNe2aL0tUM5kXL58GSkpKXjkkUfQrFkzAEBcXBx2794tr5OVlQWr1YqwsLAKl7mjVqvL/Y4G0tnwspc/PWGxWOSGvNFolGOdQ1RUFEwmk9ONDtc7Xo7Lro4ymEwm6HQ6aDQa5OTkODVGIiIiYLFYrjvkSaC8R9f2faxgzRovS83wfrlr4r33i8QuMzMTmZmZ6NSpk9vloaGhEEIgPz/fbWJXndaso2Xly61Zu90OSZJgNBoREREhJ2llW7OOoF+2NQuU3k2m0+kQGhoKAMjNzZX7sTj6ODrObgKlP1DldVQGSgdLNpvNTuW3WCxQKpUwGAzIy8tDREQEQkNDYTabceXKlXIH93Rs62jRVLZV6Is8qUNhYZFPtVzLU9GlQW+pidZsbbNYLFiwYAF69uyJnj17ymeGbrrpJhgMBuzbtw/9+/fH1q1b0alTJygUCrRr167cZfVZaSy2VxiDrnX16lXodDpEREQAKI1xQOlQKI6E2BH/gOvHOMcwJw6OhmpQUJDL90EIAbvdXmGMI/I2v0jsvvvuO3Tv3l0+s7NmzRrceOON8vABZ86cgSRJ8unva3mjNVuZUdJrW2Fhofz/zMxMAH8Fr7IyMjJc5plMJmRlZck/0o4AZDKZ3K5/PVeuXHGZV7YsZrMZ2dmVG+H+2vfI81ah76q4Dv5dN2/y9/cZAI4cOYL09HSkp6fj66+/lue/+eabeOyxx5CSkoIPPvgAdrsds2fPBlB6ibC8ZTXFl2OcwWCQG4u+HuPKys/Pr/T+iarLLxK7o0ePYsCAAfJ0q1atsHHjRuh0OtjtdqxevRoDBgzwqF8ZubLb7RxPjqiGJCQkYNOmTW6XNWrUCCkpKTh79izi4+Pls0qO7cpbRpXDGEf1ic8ndhaLBadPn8Zjjz0mz+vfvz/S09Px6quvIjg4GAkJCUhKSqrDUhIRVU1UVBSioqIqvYyIapc4edz7O+3s/UHHfT6x02g0WL9+vcv80aNHY/To0XVQIiIiIiLfVL974hIREREFECZ2bgRCh+1AwfeCyPv4vfIdfC/I25jYuaFSqVBcXMwvXB0SQqC4uLjCMe6IqGoY4+oeYxzVFH6i3HCMsVZYWFgrY3XVBn+sR1BQEO90JqoBZWOcP/DH+FURR30Y46gmMLErR1BQEIKDg9GkSRNcunTJr1u2kiQFRD2IyHv8JakItPgVaPUh38NLsUREREQBgokdERERUYBgYkdEREQUIJjYEREREQUIJnZEREREAYKJHREREVGAYGJHREREFCCY2BEREREFCCZ2RERERAGCT54gIiKiSrF/tr7MlISr4WEoKSwCcP2naQhzkxorF/GMHREREVHAYGJHREREFCBqLLHLy8vDhQsXamr3RER1ijGOiHxRpRO7TZs2ITU11aP1XnrpJRiNxioVjIioLjDGEZE/q/TNE5988gk++eQTREdHo1evXhgzZgwUCuf88NSpU9i7dy/uuecehISEeK2wREQ1jTGOiPxZle6KnTZtGk6fPo3ffvvNJeDl5uZi0aJFiI+Px8iRI71SSCKi2sQYR0T+qkqJXevWrdGtWzeX+RcuXEBycjKioqIwZcoUl4BIROQPGOOIyF9VeRy7nJwcZGZmQqfTISsrCwcPHsSBAwcwcOBAjBkzBhqNxpvlJCKqVYxxROSPPErsjEajSz+Sn3/+Ge+99548LUkS/vnPf2LIkCHeLSERUQ1jjCOiQOFRYrd27VpkZGRg+PDh8rxbbrkFnTp1gs1mQ2ZmJo4dO4YPP/wQBw4cwMSJExEVFVVjhSYi8ibGOCIKFB51EOncuTMaNGiAJUuWAAB27NiB4OBgNG3aFC1atEBCQgIeeeQRLF26FFqtFs8//zzS09NrtOBERN7CGEdEgcKjxK53796YNGkSVqxYgfHjx2Pfvn3417/+hW+++cZpvYiICEyePBlt2rRBcnIyDAZDjRSaiMibGOOIKFBU6paukJAQ3HHHHViyZAnuuusubN68GWaz2XmHCgWefvppCCGwatUqrxaWiKgmMcYRkb+r0r36O3bswN/+9jcsXLgQkiRh8eLFOHnypLw8ODgY48aNw3fffYcrV65UuXDvvfceRo4cKf8988wzAEqHHJg+fTrGjx+PdevWQQhR5dcgIrpWbcU4IiJvq9RwJ4WFhXjjjTfw+++/Izw8HLfddhsyMzNRWFiImTNnon///hg9ejR0Oh169OiBl156qVodjP/8809MmzYN8fHxAEpbylarFcnJyejSpQsmTpyI1atXY+/evRg4cGCVX4eICKj9GEdE5G0en7E7e/Yspk6disuXL2POnDm47bbbAAB6vR6zZs3Ciy++iPT0dEyaNAlffPEFSkpK0LZt2yoXrKSkBBcvXkT79u0RGhqK0NBQhISE4PDhwzAYDBg3bhz0ej2SkpKwe/fuKr8OERFQ+zGOiKgmeHzGLjU1FTfccAMmTZqE0NBQl+UdO3bEK6+8gm3btmHDhg04cOAA5s2bB0mSqlSw1NRUCCEwefJkXLlyBe3bt8fjjz+O1NRUtG3bFkFBQQCAli1bIi0trcJ9Wa1WWK1WeVqSJHnMqorK51hW1Tr4CtbDd3hWB/+tn7fV5ntd2zGOiKgmeJzYDRo0CIMGDapwHUmSMGzYMLRt2xYFBQXVKlh6ejqaN2+O8ePHIyIiAu+99x5WrlyJZs2aISYmxuk1FQoFioqKEBYW5nZfW7ZswebNm+Xp2NhYJCcnO+2nInq9vlp18RWsh++oqA7hfxph8pOnGtT00xeaNGlSo/svq7ZjHBFRTfA4sTt48CAAICEhAfn5+cjIyIBarXZqrdrtdlitVrRv3x5WqxUvvPAChg8fjl69elW6YP369UO/fv3k6YcffhhPP/00mjZtCrVa7bSuRqOBxWIpd18jRozAsGHD5GlHmbOzs2Gz2crdTpIk6PV6ZGZm+vUNGqyH7/CkDoWFRRAVfJ59xfW+d95w6dIlj9ZTqVQeN9TKU9sxjoioJlTqUixQGvSOHDmCFStWuCRYQOkP1zvvvIN3330XRUVFuOmmm7xS0NDQUAghoNPpcPHiRadlRqMRKlX5VVGr1W7LCsCjBEEI4beJRFmsh++ouA7+XTdvqs33ua5jHBGRN3ic2KnVapSUlMjTvXr1wqRJk9yu+9NPP+HHH3/E/PnzERkZWaWCrVmzBjfeeCP69OkDADhz5gwkSUKLFi2cbpbIysqC1Wot9zIsEZEnajvGERHVhEoPd+K49OK4PPHWW29BCIGoqChERUUhNjYWHTt2xPPPP4+mTZtWuWCtWrXCxo0bodPpYLfbsXr1agwYMABdunSBwWDAvn370L9/f2zduhWdOnWCQlGlIfmIiGS1GeOIiGpCpRK77du3Y8eOHdBqtejcuTMAwGw2w263IyMjAydOnMCHH36IBg0aYMKECdUqWP/+/ZGeno5XX30VwcHBSEhIQFJSEpRKJR577DGkpKTggw8+gN1ux+zZs6v1WkREQO3GOCKimlCpxO7+++/HoEGDsHPnTmRkZMBoNOKJJ55wWsdisWDnzp2YO3cupk+fjvbt21e5cKNHj8bo0aNd5ickJCAlJQVnz55FfHw8IiIiqvwaREQOtR3jiIi8zePEznH3aFRUFPR6PbZs2YIff/zRZb3w8HC8++670Gq1WLx4MV5//XWEh4d7r8T/n+OyCBGRN/hajCMiqgqPE7uy41UlJCSgbdu2uHz5Mlq0aAGj0Yjg4GAAfwXHu+66C3v27MHOnTuRmJjo5WITEXkXYxwRBQKPE7vhw4ejoKAA//73v7Fo0SJoNBo8++yz2LhxI7Zu3Yp9+/Zh2LBh8gCfkiThgQceQNeuXWuq7ER1zv7Z+kpuIeFqeBhKCotQ3rAmwlx7g/LSXxjjiCgQVKqPnUKhQFZWVumGKhUkSYIkSbjtttsQHByMzZs3Y//+/XjuuecQERGBhISEGik0EVFNYIwjIn/nUWJ38eJFHDhwAHa7HXa7XX48lyRJOHDgANLS0qBUKtG7d2/s3LkTM2bMwCuvvAKdTleTZSci8grGOCIKFB4N/mY0GpGamopLly6he/fuuHDhAi5cuAAAyM3NRWpqKi5cuIDc3Fx0794darUaS5Ysgd1ur9HCExF5A2McEQUKj87YtW3bFlOnTkVRUREUCoU8GPD48eMxfPhwNGrUCB07dpSf/pCVlYXJkyfjq6++wtChQ2uu9EREXsAYR+Rqw7Hscpdd2xdYIzSwWPgEKF9QqT52zz33HK5eveoy/+OPP8Zbb72F/v37Y+TIkWjUqBGGDRuGrVu3YvDgwU53mxEFig3Hsqt0owMDoO+qqRhXWFiIadOmYdasWWjUqBEA4MKFC1i2bBkyMzMxaNAgjBkzRn7aRUXLiIgqUqnEbvbs2XJr1maz4dlnn4XdbseiRYtw8uRJfPrpp/LjeAYNGoTvvvsOZrOZiR0R+YWaiHEFBQVITk5GdvZfZz+sViuSk5PRpUsXTJw4EatXr8bevXsxcODACpcREV1PpR6w2rRpU+j1ejRq1AhNmzbFihUr5EsW8fHxmDJlCqKjowEADRs2xIsvvsiBO4nIb9REjFuyZAn69u3rNO/w4cMwGAwYN24c9Ho9kpKSsHv37usuIyK6nkqdsbvW9e4I45MhiMifeSPGPfbYY2jcuDHef/99eV5qairatm2LoKAgAEDLli2RlpZ23WXlsVqtsFqt8rQkSQgJCZH/788c5ff3ejj4V338oYz+rSY+B9VK7IiIqGKNGzd2mWc0GhETEyNPS5IEhUKBoqKiCpc5bt641pYtW+QhWgAgNjYWycnJTvvxd3q9vq6L4FX+UJ/wP43lLjO56X4QaN2uaqM+TZp4f0B6JnZERLVMoVBArVY7zdNoNLBYLBUuK8+IESMwbNgwedpxFiA7O1t+BJq/kiQJer0emZmZEML901r8iT/Vp7CwqNxl4prP4/U+o/6mtupz6dIlj9ZTqVQeN9SY2BER1bKwsDBcvHjRaZ7RaIRKpapwWXnUarVLMujg68mDp4QQAVMXwF/q4+vl83818Rmo1M0TRERUfXFxcTh9+rQ8nZWVBavVirCwsAqXERFdDxM7IqJa1q5dOxgMBuzbtw8AsHXrVnTq1AkKhaLCZURE18NLsUREtUypVOKxxx5DSkoKPvjgA9jtdsyePfu6y4iIroeJHRFRLdi0aZPTdEJCAlJSUnD27FnEx8cjIiLCo2VERBVhYkdEVEeioqLKHQuvomVEROVhpw0iIiKiAMHEjoiIiChAMLEjIiIiChBM7IiIiIgCBBM7IiIiogDBxI6IiIgoQDCxIyIiIgoQPj+O3aFDh7BmzRrk5OSgdevWmDBhApo1a4b33nsPX331lbxe48aNsXTp0josKREREVHd8unELjMzE2+//TYeffRRtG/fHu+99x5WrFiBl19+GX/++SemTZuG+Ph4AOBzFImIiKje8+lsKD09HUlJSejTpw90Oh2GDBmCs2fPoqSkBBcvXkT79u0RGhqK0NBQhISE1HVxiYiIiOqUT5+x6969u9N0RkYG9Ho9UlNTIYTA5MmTceXKFbRv3x6PP/44oqOj66ikRERERHXPpxO7smw2Gz7//HPcddddSE9PR/PmzTF+/HhERETgvffew8qVKzFjxgy321qtVlitVnlakiT5DJ8kSeW+pmNZRev4A9ajpvhKOQKX77zXRET+wW8Su40bNyI4OBiDBw+GSqVCv3795GUPP/wwnn76aRgMBmi1Wpdtt2zZgs2bN8vTsbGxSE5ORkxMjEevrdfrq18BH8B6eFf4n0aYNJoqbaup4na+pqbr0aRJkxrdPxFRoPGLxO7YsWPYtWsX5s6dC5XKtcihoaEQQiA/P99tYjdixAgMGzZMnnacBcjOzobNZiv3dSVJgl6vR2ZmJoQQXqhJ3WA9akZhYRGExVLp7TQaDSxV2M7X1EY9Ll265NF6KpXK44YaEVEg8/nE7vLly0hJScEjjzyCZs2aAQDWrFmDG2+8EX369AEAnDlzBpIkoWHDhm73oVaroVar3S7zJEEQQvhEIlFdrIe3+UIZAptvvM9ERP7DpxM7i8WCBQsWoGfPnujZsydMJhMAoGXLlti4cSN0Oh3sdjtWr16NAQMGICgoqI5LTERERFR3fDqxO3LkCNLT05Geno6vv/5anv/mm28iIyMDr776KoKDg5GQkICkpKQ6LCkRERFR3fPpxC4hIQGbNm1yu2z06NEYPXp0LZeIiIiIyHf59ADFREREROQ5JnZEREREAYKJHREREVGAYGJHREREFCCY2BEREREFCCZ2RERERAGCiR0RERFRgGBiR0RERBQgmNgRERERBQgmdkREREQBgokdERERUYBgYkdEREQUIJjYEREREQUIJnZEREREAYKJHREREVGAYGJHREREFCCY2BEREREFCCZ2RERERAGCiR0RERFRgGBiR0RERBQgmNgRERERBQgmdkREREQBgokdERERUYBgYkdEREQUIJjYEREREQUIVV0XwB/ZP1tfI/tVDB9dI/slIiKi+oFn7IiIiIgCBBM7IiIiogDh15diL1y4gGXLliEzMxODBg3CmDFjIElSXRfL55R8uh5Xw8NQUlgEQFRrXxvNTeT/S/Edq1myvyR1jvHavogCBWMcEVWW3yZ2VqsVycnJ6NKlCyZOnIjVq1dj7969GDhwYF0XjYio2vw1xnm7D7Lynge9uj+iQOe3id3hw4dhMBgwbtw4BAUFISkpCatWraqRoLf+aDbKnukSZc5aVceooEte2Y87G45ly/8XZj00QgOLJazGXs9XOY6DOHm8jktCVDm1GePKxovqKhsfazLG1RRvHouyeFWCaovfJnapqalo27YtgoKCAAAtW7ZEWlpaHZeqfvFmsrT+5F//L/8Sr4TwP40o9MIlZSJfFwgxbqMXGsHS0Wy333tfSpQ8iYX2844kV7pu1xiOkEDV4beJndFoREzMX19sSZKgUChQVFSEsDDnM1NWqxVWq9Vp3ZCQEKhUFVff0ZelcUSI09dPxDSofgUAqDV2p2mFWu2V/QJAowit/H8R0wBqtdrpGPgyqUzZneYDCNFqoJVCKp3Wees98wZ/ei8qUhv1UHv4nbjed9kf1UaMc2hUzneuKrz9XVNEhLj93n99vrjK+xTnT5e7rErpogd13o2/1lGr1bBGVPDd2XukKqXwugqPxTV1DpS45lBb9amJGOe30VChULgcEI1GA4vF4rLuli1bsHnzZnm6b9++mDhxIho08CwAjelzo/OMa6d90D/K/CD4Q3lrHI8B+ZnajHFO8aK6/OG75g9lJKoivx3uJCwsDAUFBU7zjEaj26x2xIgReP/99+W/Rx991KNM3Gg0YurUqTAajV4rd11gPXxHINQBCJx6+LLaiHH+INA+a4FWHyDw6uTv9fHbM3ZxcXHYvXu3PJ2VlQWr1epyiQIoPdXp6enOsoQQOHfuHITw7/5crIfvCIQ6AIFTD19WGzHOHwTaZy3Q6gMEXp38vT5+e8auXbt2MBgM2LdvHwBg69at6NSpExQKv60SEZGMMY6IqsJvz9gplUo89thjSElJwQcffAC73Y7Zs2fXdbGIiLyCMY6IqsJvEzsASEhIQEpKCs6ePYv4+HhERER4df9qtRr33Xef31/iYD18RyDUAQicevi6mo5x/iDQPmuBVh8g8Ork7/WRhL9eRCYiIiIiJ+ysQURERBQgmNgRERERBQgmdkREREQBwq9vnqhJFy5cwLJly5CZmYlBgwZhzJgx8iPGfM2hQ4ewZs0a5OTkoHXr1pgwYQKaNWtWYR18uX5z585F3759MWDAAL+tw4cffoiLFy9i2rRpACouqy/W45tvvsGGDRtQVFSEtm3b4vHHH0ejRo38rh7k+wItfpUVCLGsLH+Paw6BHt94xs4Nq9WK5ORkxMbGYv78+UhLS8PevXvrulhuZWZm4u2338bo0aOxfPlyREdHY8WKFRXWwZfr9+233+Lo0aMAKi6nL9fhwoUL2LlzJx566CEA/lePzMxMbNiwAZMnT8brr7+O6OhovP32235XD/J9gRa/ygqEWFaWv8c1h/oQ35jYuXH48GEYDAaMGzcOer0eSUlJTiPA+5L09HQkJSWhT58+0Ol0GDJkCM6ePVthHXy1fkVFRVi7di2aNm0KoOJy+modhBB45513MHToUOj1egD+V4/z58/jxhtvROvWrREdHY2BAwfi0qVLflcP8n2BFL/KCoRYVlYgxDWH+hDfeCnWjdTUVLRt2xZBQUEAgJYtWyItLa2OS+Ve9+7dnaYzMjKg1+srrIOv1m/t2rVISEiQH3Luj3X4+uuvcf78eQwaNAg///wzunTp4nf1aNasGX777TecO3cOjRs3xldffYVOnTr5XT3I9wVS/CorEGJZWYEQ1xzqQ3zjGTs3jEYjYmJi5GlJkqBQKFBUVFSHpbo+m82Gzz//HEOGDKmwDr5Yv+PHj+PXX3/Fgw8+KM/ztzqYTCZs3LgRer0eubm5+OKLLzBr1iy/q0ezZs3Qq1cvTJ06FQ899BDOnDmDsWPH+l09yL/4c/wqKxBiWVmBEtcc6kN8Y2LnhkKhcBlxWqPRyK0vX7Vx40YEBwdj8ODBFdbB1+pnsVjwzjvv4NFHH4VWq5Xn+1MdAODHH3+E2WzGrFmzcN999+GFF16AwWDAnj17/Koep06dws8//4x58+Zh7dq16Nu3L+bPn+937wf5F3+NX2UFSiwrK1DimkN9iG9M7NwICwtDQUGB0zyj0QiVynevXB87dgy7du3CxIkToVKpKqyDr9Xvk08+QZs2bXDzzTc7zfenOgBAbm4u4uLiEBYWBqD0WZ8tWrSAxWLxq3p899136Nu3L+Li4hAcHIxRo0bh8uXLfvd+kP/w5/hVVqDEsrICJa451If45pulqmNxcXFOHSOzsrJgtVrlD7avuXz5MlJSUvDII4+gWbNmACqug6/Vb//+/SgoKJDvtjKbzfj+++8RExODkpISt+X0tToAQHR0tEsLLicnB2PHjsW2bdvkeb5eD7vd7hTEjEYjzGYzlEolTp8+Lc/39XqQf/D3+FVWoMSysgIlrjnUh/jGM3ZutGvXDgaDAfv27QMAbN26FZ06dYJC4XuHy2KxYMGCBejZsyd69uwJk8kEk8mEm266qdw6+Fr95syZg0WLFmHhwoVYuHAhevTogZEjR+Kll17ymzoAwM0334z09HTs3LkTubm5+PLLL3H+/Hl06dLFr+oRHx+PgwcP4osvvsD+/fvx6quvIjIyEnfeeadf1YN8XyDEr7ICJZaVFShxzaE+xDdJCCHquhC+6ODBg0hJSUFISAjsdjtmz56N5s2b13WxXBw8eBCvvfaay/w333wT58+fL7cOvly/t956Cx06dMCAAQMqLKcv1uHUqVNYt24dzp07B51Oh7FjxyIhIcGv6iGEwObNm7Fnzx7k5eWhRYsWePzxx9G6dWu/qgf5vkCMX2X5cywrKxDimkN9iG9M7Cpw5coVnD17FvHx8YiIiKjr4lRJRXXwl/oFQh0A1oOosgLtsxZo9QECr06BUB8mdkREREQBwjcvEBMRERFRpTGxIyIiIgoQTOyIiIiIAgQTOyIiIqIAwcSOiIiIKEAwsSMAQEZGBtLT090uO3r0KM6fP1/utjk5OThx4gTsdrvb5StXrsSJEyeqXUaDwYDly5dXWJarV68iJyfH7bKyI79XV2FhYYXLCwoKXMr5xx9/YOTIkbBarVXeLxFVDWNc5TDG+S8mdgQA+Oijj7Bhwwa3yz7++GMcPHiw3G2//PJLzJs3D1lZWQBKg4vNZpOXHz58GLm5uQBKH+diNpvLDZAVsdls2L17N/Lz8yusx+uvv+4y//z585g0aZLTI2Oq6tixY5g4cSLy8vLkeSaTCadOncKOHTvw6quv4sknn0RycjLMZrO8juMh0uU9XzA3NxcTJ07E8ePHq11GInLGGOc5xjj/xmfFEgBAo9FAkiR5uqSkBEqlEkDpQ5/LPjrFbrfL03a7Hfv378edd94JvV4PADhw4ADefPNNSJIESZJgt9uRkpKCpUuXQggBIQTmzJmDm266CZs3b8amTZucytKsWTMsXrzYpYyOYFHRg5fVarUcXBxyc3ORnJwMjUaDyMjIyhwWF7///jveeOMNPP3002jQoIE8/6uvvsK2bdsQHx+PQ4cOYfr06ejUqZNTWVUqFRQKBSRJcjq+Dg0bNsSECROwePFiTJ06FfHx8dUqKxH9hTHOM4xx/o+JXT1nsVjkL6ZCoYDdbofdbseTTz6JgoICqFQq2Gw2nDp1Clu2bIHNZkOLFi3w6quvAgCOHDmC4uJiDB06FIcPH0aDBg1w6623ok+fPvJ+J02ahFGjRuGWW24BAFitVvkLr1Ao0LBhQ7zyyisAgC1btuDkyZMoLCyE0WiEQqGQ/0wmEwCgqKgIWVlZiIiIQHBwsFN9ygZuAMjPz8crr7wCrVaLF198ETqdrsrHqrCwEEuXLsUTTzyBm2++2WnZPffcg3vvvRcmkwljx47FDTfcINd/x44dSE9Px6BBg+RjPmfOHNx5553o27ev03569OiBRx55BEuWLMHChQt99iHTRP6CMc5zjHGBgYldPWaxWDBmzBinebt378Z9992Ht956S259zZ49G506dUJiYiJsNptTP45t27bh1ltvRWRkJDZt2oTmzZvjb3/7G3755Reo1WpIkoTCwkL88MMPcv8WSZJw7733AvirhdewYUMAQEhICJRKJbZt24YtW7ZAqVRCkiSn1nRKSgpKSkrw7LPPyoHUnZycHMydOxcqlQovvvhitR8Bs2XLFnTp0gUJCQkuy64NtmUdPnzY6ZhpNBo0a9YMK1euRFxcHBo3buy0fp8+ffDLL7/gs88+w+jRo6tVZqL6jDGuchjjAgMTu3pMrVbj7bffhlqtxvvvvw+FQoF//OMfcpApG2gcHEHKYrHgl19+wa+//orXXnsNWVlZSEtLw9SpU/Hnn38iPT1dDnpdunQBAKSnp8uB7//+7/8AuA8WkiThgQcewKhRo5zmO1qKzz//PDp06FBh3cxmM2bNmoXw8HC88MIL1W4VWq1W7NmzB3PmzHG7bOzYsVCr1XILdsqUKbDZbFi4cCEuXLiAwYMHO23z8MMP48yZM1i6dCnmzJnjcqyHDRuGl19+GSNHjqzwsgwRlY8xznOMcYGDR7MekyQJ0dHRAEqDmVKphE6nw6pVq7Bjxw6ndX///Xd89NFH8nRUVBQ6deoEAJg+fTpKSkowbNgw6HQ6+RT+77//jlGjRuHEiRNIT0/H7bffjpdffhlt27Z1KkN2djZGjhwpz4uLi5P7rWRlZcn9WtyxWq1IT0+HSqWCJEkoKiqC2WxGTk4O7r33XrRq1QpXr17F1atXXbbT6XQeX7a4dOkStFotmjdv7rJMqVRi5syZUKvV+P777/H555/jX//6F8LCwqBSqZCTk4O4uDinbdRqNR5//HF89dVXMBqNCA0NdVreqlUrqFQqXL58GTfccINHZSQiZ4xxjHH1ERM7kl26dAkLFy7EHXfcgVGjRrl0fJ03bx46dOiAYcOGoaSkBHa7HUlJSSgoKMDLL78sX3oASjvJ/vDDD/jjjz/Qo0cP7N+/H7fffjsGDBiANm3ayOtJkuTS/+TcuXMASu/++uabb7B06dIK77KaMWOG3HK2WCyw2+14/vnnAQBGo9GplQkAQghYrVaMGTMGQ4cO9ejY5OTkICoqyu0yhUKBdu3aAYDcSVqv1yMnJwd//PEHJElCmzZtkJ2dLW9TXFwMSZLwzDPPlPuaUVFRyMn5f+3dWUhUYR/H8a+pY45mc6GkIKml6cVgpRVUTAalaHZRQVHYbhe5YUaIZoRZWbkUZXaRBpZSNxHTRkEhGWaFQoFQ0mITjVbahiMuo555L8TzNrlk1sX7jv8PCI5z5sxy8fN/5vk/z/NFQk+If0QybnSScY5DCrtJrqurSw2nb9++ERMTQ0BAABqNZtjMqylTpuDi4oK7uzsDAwO4urpis9k4deoU8fHx6lDAo0ePePr0KQcPHuTLly+8efNGvWo0GAx257TZbMP6T4ZER0dz69YtHjx4MOxr/iG+vr5cvnxZvV1RUYHJZCI3NxeA48eP4+HhMWa4jIeLiwvd3d1jHtPe3k5jYyMw2HBdWVlJSkoK27Ztw8PDg8+fP6MoCjabjcePH3P+/Hn27t07ag9Nd3e3DFEI8Zck48ZHMs5xyDp2k5jZbGbXrl1UVFRgs9lYtmwZ27dv59mzZyQkJLBhwwa7n6Ghio0bN5KXl4fVaqWsrIwPHz4QFhbGkydPaG1tJTQ0lJaWFkpKSggLC6Onpwc3N7cRX8NIaz3ZbDYAvL29WbhwIUajccILb0ZHR1NXV4fZbJ7Q44f4+fnx6dMnrFbrqMdcv35dHfZZsGABwcHB1NfXq1fMQ4/t6+vjzp076PX6UQOvt7eXtrY2/Pz8/up1CzGZScaNn2Sc45BSeRLz9/dn7dq1xMTEUFVVpf59yZIlzJs3D4vFYjeb6ejRo+owhaIodHV1UV1djaIolJSU4O3tTWJiIjqdjoyMDEwmE1arlY6ODrRaLT09PSiKQl9fH+7u7mg0GnXpgaHFPbu7u9XQA4iPj8diseDs7DzmauajiYyMJDg4mNLSUg4dOoRGo5nQZ+Xj48OMGTOora1Vp/T/7OXLl9y7d4+dO3dy4cIFYLB5+Oc1pUJDQ7ly5Qo1NTWYzWZSU1NHfb6HDx/i7+8/6tCIEOL3JOPGTzLOcUhhN8mtX79+2N80Gg1lZWW8fv2awsJCdbjCyckJZ2dntFqtemxeXh6+vr520+zPnTtHbW0trq6ulJeXqz0gDQ0N2Gw2+vv72b17NwaDQQ28pKQk9fGBgYHq7yEhIRN+b21tbZhMJpKSksjOzubkyZNkZGSMemX9O6tXr+bq1assWrTIbgbajx8/KCgoIDAwkMjISDX0fn4fMPj5ffz4kUuXLhEXF0dQUNCIz2OxWLh27RqbNm2a0OsUQvyXZNz4ScY5BinsxIiioqKoqanh9u3bdg3Dv5ozZw5WqxWz2UxLSws6nY7k5GSSk5OBwT6MEydOkJ+fj5eX17AZWoqi4OPjQ2lpKQBGo/Gvt5ux2Wzcv3+fyspKtFotp0+fJj09neLiYvbv309SUtKwGVzjsXz5cmpraykpKWHfvn3qPwOdTkdkZCRxcXFjrvXU3NxMQUEBQUFBJCQkjHiM1WrlzJkz+Pv7D+vVEUL8O5Jxw0nGOQbpsRMAdkMDAHq9nrlz59ptmv3rMXV1dSQmJrJ582aysrIwGo3q5tRDex4WFRWxbt062tvbSUlJobKyks7OTvUcOp2OmTNnqrfXrFnDgQMH7J5HURT6+/vVfRrHCpavX7/S1NREWVkZBoOBoqIiNBoNERERZGdn09HRQU5ODgUFBXR0dPzRZ+Tk5ERGRgbfv3/nyJEjdo3GqampdjPhfmYymSgvLycnJ4egoCAyMzOHNW3DYJP34cOHsVgs7NmzZ8z3KYT4M5JxvycZ5xjkG7tJ7u3bt9TX19PY2EhUVJTdfenp6Xh6evLixQvevXuHyWRi8eLF6v16vZ74+Hj0ej2zZ8/G2dmZ58+fk5+fz6tXr3Bzc2PHjh2sWLFCPd/Fixeprq4mLS2NiIgIVq5cOepssCEDAwNkZmbS0tLC9OnTR1xnCQbD0WQy4eXlRVpaGuHh4Xb36/V6CgsLqaqqIiAgYEKrtHt6epKbm8vdu3dHHO4Y6pFRFIUbN25gNBrp7Oxk2rRpbN26ldjY2FHDbOrUqcyfP59Vq1YN20ZICDExknF/RjLu/5+T7ddLFDGptLa2cuzYMUJDQ9myZcuIG0g3NDRQWlrKrFmzSEtLG3PBy/7+fs6ePUt4eDgGg2HYVVtvby83b94kNjb2j1ZKb2pqoq+vj5CQkDED4f3792i1Wnx8fMZ97n+pubmZrKwsiouLURSFiooKDAYDS5cunXDfixBi4iTj/i3JuP99UtgJIYQQQjgI6bETQgghhHAQUtgJIYQQQjgIKeyEEEIIIRyEFHZCCCGEEA5CCjshhBBCCAchhZ0QQgghhIOQwk4IIYQQwkFIYSeEEEII4SCksBNCCCGEcBD/AVhK8/UrpCsGAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 创建一个图形和子图\n",
    "categories = ['A1', 'A2', 'A3', 'A4']\n",
    "\n",
    "fig, axs = plt.subplots(2,2)\n",
    "\n",
    "c=0\n",
    "# 遍历每个故障类别\n",
    "for i in range(2):\n",
    "    for j in range(2):\n",
    "        # 筛选出该故障类别的数据\n",
    "        category=categories[c]\n",
    "        c=c+1\n",
    "        durations_M101 = df1[df1['故障类别'] == category]['持续时间（秒）'].dropna()\n",
    "        durations_M102 = df2[df2['故障类别'] == category]['持续时间（秒）'].dropna()\n",
    "        # 绘制直方图\n",
    "        axs[i,j].hist(durations_M101, alpha=0.5, label=f'M101 {category}')\n",
    "        axs[i,j].hist(durations_M102, alpha=0.5, label=f'M102 {category}')\n",
    "        # 添加图例\n",
    "        axs[i,j].legend()\n",
    "        # 添加标题\n",
    "        axs[i,j].set_title(f'故障类别 {category} 的持续时长分布',color='black',size=10)\n",
    "        # 添加x轴和y轴标签\n",
    "        axs[i,j].set_xlabel('持续时长（秒）')\n",
    "        axs[i,j].set_ylabel('频次')\n",
    "\n",
    "# 调整子图间距\n",
    "plt.tight_layout()\n",
    "# 显示图形\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "aac16b25-7b86-4bd3-9d39-98c3caa42300",
   "metadata": {},
   "outputs": [],
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